Brain and Nature Inspired Learning Computation and Recognition

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

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  • Author : Licheng Jiao
  • Publisher : Elsevier
  • Pages : 788 pages
  • ISBN : 9780128197950
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBrain and Nature Inspired Learning Computation and Recognition

Brain and Nature-Inspired Learning Computation and Recognition

Brain and Nature-Inspired Learning Computation and Recognition
  • Author : Licheng Jiao,Ronghua Shang,Weitong Zhang,Fang Liu
  • Publisher : Elsevier
  • Release : 31 January 2020
GET THIS BOOKBrain and Nature-Inspired Learning Computation and Recognition

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

Brain and Nature-Inspired Learning, Computation and Recognition

Brain and Nature-Inspired Learning, Computation and Recognition
  • Author : Licheng Jiao,Ronghua Shang,Fang Liu,Weitong Zhang
  • Publisher : Elsevier
  • Release : 18 January 2020
GET THIS BOOKBrain and Nature-Inspired Learning, Computation and Recognition

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

Process Safety and Big Data

Process Safety and Big Data
  • Author : Sagit Valeev,Natalya Kondratyeva
  • Publisher : Elsevier
  • Release : 01 March 2021
GET THIS BOOKProcess Safety and Big Data

Process Safety and Big Data discusses the principles of process safety and advanced information technologies, explaining its application to the process industry and providing examples of applications in process safety control and decision support systems. The book helps address problems that researchers face as the result of increased process complexity. The book shows ways to tackle safety issues by implementing modern information technologies, such as big data analysis and artificial intelligence. It provides an integrated approach to modern information technologies

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

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 26 July 2016
GET THIS BOOKNature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

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

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Artificial Intelligence in the Age of Neural Networks and Brain Computing
  • Author : Robert Kozma,Cesare Alippi,Yoonsuck Choe,Francesco Carlo Morabito
  • Publisher : Academic Press
  • Release : 30 October 2018
GET THIS BOOKArtificial Intelligence in the Age of Neural Networks and Brain Computing

Artificial Intelligence in the Age of Neural Networks and Brain Computing demonstrates that existing disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity and smart autonomous search engines. The book covers the major basic ideas of brain-like computing behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as future alternatives. The success of AI-based commercial products

Nature-Inspired Computing Design, Development, and Applications

Nature-Inspired Computing Design, Development, and Applications
  • Author : Nunes de Castro, Leandro
  • Publisher : IGI Global
  • Release : 31 May 2012
GET THIS BOOKNature-Inspired Computing Design, Development, and Applications

The observation of nature has been the inspiration for many materials, laws, and theories, as well as computational methods. Nature-Inspired computing Design, Development, and Applications covers all the main areas of natural computing, from methods to computationally synthesized natural phenomena, to computing paradigms based on natural materials. This volume is comprised of ideas and research from nature to develop computational systems or materials to perform computation. Researchers, academic educators, and professionals will find a comprehensive view of all aspects of

Nature-Inspired Computation and Machine Learning

Nature-Inspired Computation and Machine Learning
  • Author : Alexander Gelbukh,Félix Castro Espinoza,Sofía N. Galicia-Haro
  • Publisher : Springer
  • Release : 05 November 2014
GET THIS BOOKNature-Inspired Computation and Machine Learning

The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image

Nature Inspired Computing for Data Science

Nature Inspired Computing for Data Science
  • Author : Minakhi Rout,Jitendra Kumar Rout,Himansu Das
  • Publisher : Springer Nature
  • Release : 26 November 2019
GET THIS BOOKNature Inspired Computing for Data Science

This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and

Handbook of Nature-Inspired and Innovative Computing

Handbook of Nature-Inspired and Innovative Computing
  • Author : Albert Y. Zomaya
  • Publisher : Springer Science & Business Media
  • Release : 10 January 2006
GET THIS BOOKHandbook of Nature-Inspired and Innovative Computing

As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of

Applied Nature-Inspired Computing: Algorithms and Case Studies

Applied Nature-Inspired Computing: Algorithms and Case Studies
  • Author : Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya
  • Publisher : Springer
  • Release : 10 August 2019
GET THIS BOOKApplied Nature-Inspired Computing: Algorithms and Case Studies

This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline

Advances in Multi-Objective Nature Inspired Computing

Advances in Multi-Objective Nature Inspired Computing
  • Author : Carlos Coello Coello,Clarisse Dhaenens,Laetitia Jourdan
  • Publisher : Springer Science & Business Media
  • Release : 04 February 2010
GET THIS BOOKAdvances in Multi-Objective Nature Inspired Computing

The purpose of this book is to collect contributions that deal with the use of nature inspired metaheuristics for solving multi-objective combinatorial optimization problems. Such a collection intends to provide an overview of the state-of-the-art developments in this field, with the aim of motivating more researchers in operations research, engineering, and computer science, to do research in this area. As such, this book is expected to become a valuable reference for those wishing to do research on the use of

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
  • Author : Nikola K. Kasabov
  • Publisher : Springer
  • Release : 29 August 2018
GET THIS BOOKTime-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces for the first time not only deep learning and deep knowledge representation in the human brain and in brain-inspired SNN, but takes that further to develop new types of AI systems, called in the book brain-inspired AI (BI-AI). BI-AI

Nature-Inspired Computing for Control Systems

Nature-Inspired Computing for Control Systems
  • Author : Hiram Eredín Ponce Espinosa
  • Publisher : Springer
  • Release : 16 December 2015
GET THIS BOOKNature-Inspired Computing for Control Systems

The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is