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Brain and Nature-Inspired Learning, Computation and Recognition

Brain and Nature-Inspired Learning, Computation and Recognition
A Book

by Licheng Jiao,Ronghua Shang,Fang Liu,Weitong Zhang

  • Publisher : Elsevier
  • Release : 2020-01-18
  • Pages : 788
  • ISBN : 0128204044
  • Language : En, Es, Fr & De
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Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications
Concepts, Methodologies, Tools, and Applications

by Management Association, Information Resources

  • Publisher : IGI Global
  • Release : 2016-07-26
  • Pages : 1780
  • ISBN : 1522507892
  • Language : En, Es, Fr & De
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As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.

Bio-inspired Neurocomputing

Bio-inspired Neurocomputing
A Book

by Akash Kumar Bhoi,Pradeep Kumar Mallick,Chuan-Ming Liu,Valentina E. Balas

  • Publisher : Springer Nature
  • Release : 2020-07-21
  • Pages : 427
  • ISBN : 9811554951
  • Language : En, Es, Fr & De
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This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.

Intelligent Computing Theories and Methodologies

Intelligent Computing Theories and Methodologies
11th International Conference, ICIC 2015, Fuzhou, China, August 20-23, 2015, Proceedings

by De-Shuang Huang,Vitoantonio Bevilacqua,Prashan Premaratne

  • Publisher : Springer
  • Release : 2015-08-10
  • Pages : 755
  • ISBN : 3319221809
  • Language : En, Es, Fr & De
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This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The total of 191 full and 42 short papers presented in the three ICIC 2015 volumes was carefully reviewed and selected from 671 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.

Nature Inspired Problem-Solving Methods in Knowledge Engineering

Nature Inspired Problem-Solving Methods in Knowledge Engineering
Second International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2007, La Manga del Mar Menor, Spain, June 18-21, 2007, Proceedings

by José Mira,José R. Álvarez

  • Publisher : Springer
  • Release : 2007-06-23
  • Pages : 650
  • ISBN : 3540730559
  • Language : En, Es, Fr & De
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The second of a two-volume set, this book constitutes the refereed proceedings of the Second International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2007, held in La Manga del Mar Menor, Spain in June 2007. It contains all the contributions connected with biologically inspired methods and techniques for solving AI and knowledge engineering problems in different application domains.

Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms

Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms
A Book

by Dash, Sujata,Tripathy, B.K.,Rahman, Atta ur

  • Publisher : IGI Global
  • Release : 2017-08-10
  • Pages : 538
  • ISBN : 152252858X
  • Language : En, Es, Fr & De
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The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world.

Advances in Brain Inspired Cognitive Systems

Advances in Brain Inspired Cognitive Systems
10th International Conference, BICS 2019, Guangzhou, China, July 13–14, 2019, Proceedings

by Jinchang Ren,Amir Hussain,Huimin Zhao,Kaizhu Huang,Jiangbin Zheng,Jun Cai,Rongjun Chen,Yinyin Xiao

  • Publisher : Springer Nature
  • Release : 2020-01-31
  • Pages : 595
  • ISBN : 303039431X
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in July 2019. The 57 papers presented in this volume were carefully reviewed and selected from 129 submissions. The papers are organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; and data analysis and natural language processing.

Biomedical Applications Based on Natural and Artificial Computing

Biomedical Applications Based on Natural and Artificial Computing
International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings

by José Manuel Ferrández Vicente,José Ramón Álvarez-Sánchez,Félix de la Paz López,Javier Toledo Moreo,Hojjat Adeli

  • Publisher : Springer
  • Release : 2017-06-10
  • Pages : 562
  • ISBN : 3319597736
  • Language : En, Es, Fr & De
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The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017. The total of 102 full papers was carefully reviewed and selected from 194 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on natural and artificial computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and neuroscience applications. The second volume deals with biomedical applications, based on natural and artificial computing and addresses topics such as biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big data analysis; computational intelligence in data coding and transmission; and applications.

Brain-Inspired Information Technology

Brain-Inspired Information Technology
A Book

by Akitoshi Hanazawa,Tsutom Miki,Keiichi Horio

  • Publisher : Springer Science & Business Media
  • Release : 2010-09-22
  • Pages : 178
  • ISBN : 3642040241
  • Language : En, Es, Fr & De
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"Brain-inspired information technology" is one of key concepts for the development of information technology in the next generation. Explosive progress of computer technology has been continuing based on a simple principle called "if-then rule". This means that the programmer of software have to direct every action of the computer programs in response to various inputs. There inherently is a limitation of complexity because we human have a limited capacity for managing complex systems. Actually, many bugs, mistakes of programming, exist in computer software, and it is quite difficult to extinguish them. The parts of computer programs where computer viruses attack are also a kind of programming mistakes, called security hole. Of course, human body or nervous system is not perfect. No creator or director, however, exists for us. The function of our brain is equipped by learning, self-organization, natural selection, and etc, resulting in adaptive and flexible information system. Brain-inspired information technology is aiming to realize such nature-made information processing system by using present computer system or specific hardware. To do so, researchers in various research fields are getting together to inspire each other and challenge cooperatively for the same goal.

Cortex-inspired Developmental Learning for Vision-based Navigation, Attention and Recognition

Cortex-inspired Developmental Learning for Vision-based Navigation, Attention and Recognition
A Book

by Zhengping Ji

  • Publisher : Unknown Publisher
  • Release : 2009
  • Pages : 304
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Computational Intelligence in Pattern Recognition

Computational Intelligence in Pattern Recognition
Proceedings of CIPR 2019

by Asit Kumar Das,Janmenjoy Nayak,Bighnaraj Naik,Soumen Kumar Pati,Danilo Pelusi

  • Publisher : Springer
  • Release : 2019-08-17
  • Pages : 1046
  • ISBN : 9811390428
  • Language : En, Es, Fr & De
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This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Proceedings of the Global AI Congress 2019

Proceedings of the Global AI Congress 2019
A Book

by Jyotsna Kumar Mandal,Somnath Mukhopadhyay

  • Publisher : Springer Nature
  • Release : 2020-04-02
  • Pages : 729
  • ISBN : 9811521883
  • Language : En, Es, Fr & De
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This book gathers high-quality research papers presented at the Global AI Congress 2019, which was organized by the Institute of Engineering and Management, Kolkata, India, on 12–14 September 2019. Sharing contributions prepared by researchers, practitioners, developers and experts in the areas of artificial intelligence, the book covers the areas of AI for E-commerce and web applications, AI and sensors, augmented reality, big data, brain computing interfaces, computer vision, cognitive radio networks, data mining, deep learning, expert systems, fuzzy sets and systems, image processing, knowledge representation, nature-inspired computing, quantum machine learning, reasoning, robotics and autonomous systems, robotics and the IoT, social network analysis, speech processing, video processing, and virtual reality.

Intelligent Computing and Optimization

Intelligent Computing and Optimization
Proceedings of the 3rd International Conference on Intelligent Computing and Optimization 2020 (ICO 2020)

by Pandian Vasant

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030681548
  • Language : En, Es, Fr & De
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Medical Imaging

Medical Imaging
Artificial Intelligence, Image Recognition, and Machine Learning Techniques

by K.C. Santosh,Sameer Antani,DS Guru,Nilanjan Dey

  • Publisher : CRC Press
  • Release : 2019-08-20
  • Pages : 238
  • ISBN : 0429639325
  • Language : En, Es, Fr & De
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The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.

Brain-inspired IT III

Brain-inspired IT III
Invited and Selected Papers of the 3rd International Conference on Brain-Inspired Information Technology "BrainIT 2006" Held in Hibikino, Kitakyushu, Japan Between 27 and 29 September 2006

by Kiyohisa Natsume,Akitoshi Hanazawa,Tsutomu Miki

  • Publisher : Elsevier Science Health Science Division
  • Release : 2007
  • Pages : 310
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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BRAIN-INSPIRED IT III is the third volume of the Brain-Inspired IT series intended for researchers and students who are involved or interested in the brain sciences, technology, and engineering. It includes 4 invited papers, 7 COE papers, 57 selected papers from the Third International Symposium BrainIT 2006, which was held in Kitakyushu, Japan, on September 27-29, 2006. The last two International symposiums BrainIT 2004 and 2005 were great success, and provided the participants with good opportunities to exchange valuable information and various ideas from multidisciplinary research area. We made a survey of the current state-of-the-art and explored the possibility to establish new research fields in the Brain-Inspired Information Technology. The first 4 invited papers are contributed by outstanding researchers in the area, Dr. M. Kawato (ATR Computational Neuroscience Laboratories), Prof. Ryohei Kanzaki (The University of Tokyo), Prof. Asla Pitk'nen (University of Kuopio), Prof. Helge Ritter (Bielefeld University), who were presented in the special and invited sessions of BrainIT2006 to discuss how the brain processes the information and how we apply the processing to technology. Technical papers cover vision system, other sensory systems, cognition and languages, learning and memory, behavior and emotion, motor controls, dynamics, neural computation, neural networks, and brain-inspired intelligent machines.

International Conference on Innovative Computing and Communications

International Conference on Innovative Computing and Communications
Proceedings of ICICC 2020, Volume 2

by Deepak Gupta,Ashish Khanna,Siddhartha Bhattacharyya,Aboul Ella Hassanien,Sameer Anand,Ajay Jaiswal

  • Publisher : Springer Nature
  • Release : 2020-07-30
  • Pages : 1182
  • ISBN : 9811551480
  • Language : En, Es, Fr & De
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This book includes high-quality research papers presented at the Third International Conference on Innovative Computing and Communication (ICICC 2020), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 21–23 February, 2020. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020

Brain-Inspired Cognitive Architectures for Artificial Intelligence: BICA*AI 2020
Proceedings of the 11th Annual Meeting of the BICA Society

by BICA Society. Annual Meeting

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 3030655962
  • Language : En, Es, Fr & De
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The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Eleventh Annual Meeting of the BICA Society, held on November 10-14, 2020, in Natal, Brazil, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration. .

Biologically Inspired Cognitive Architectures 2019

Biologically Inspired Cognitive Architectures 2019
Proceedings of the Tenth Annual Meeting of the BICA Society

by Alexei V. Samsonovich

  • Publisher : Springer
  • Release : 2019-07-16
  • Pages : 617
  • ISBN : 3030257193
  • Language : En, Es, Fr & De
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The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented at the Tenth Annual Meeting of the BICA Society, held in on August 15-18, 2019, in Seattle, WA, USA, discuss emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. All in all, the book provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Soft Computing in Data Analytics

Soft Computing in Data Analytics
Proceedings of International Conference on SCDA 2018

by Janmenjoy Nayak,Ajith Abraham,B. Murali Krishna,G. T. Chandra Sekhar,Asit Kumar Das

  • Publisher : Springer
  • Release : 2018-08-21
  • Pages : 859
  • ISBN : 9811305145
  • Language : En, Es, Fr & De
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The volume contains original research findings, exchange of ideas and dissemination of innovative, practical development experiences in different fields of soft and advance computing. It provides insights into the International Conference on Soft Computing in Data Analytics (SCDA). It also concentrates on both theory and practices from around the world in all the areas of related disciplines of soft computing. The book provides rapid dissemination of important results in soft computing technologies, a fusion of research in fuzzy logic, evolutionary computations, neural science and neural network systems and chaos theory and chaotic systems, swarm based algorithms, etc. The book aims to cater the postgraduate students and researchers working in the discipline of computer science and engineering along with other engineering branches.

Artificial Neural Networks and Machine Learning – ICANN 2018

Artificial Neural Networks and Machine Learning – ICANN 2018
27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings

by Věra Kůrková,Yannis Manolopoulos,Barbara Hammer,Lazaros Iliadis,Ilias Maglogiannis

  • Publisher : Springer
  • Release : 2018-10-02
  • Pages : 846
  • ISBN : 303001424X
  • Language : En, Es, Fr & De
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This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.