Brain and Nature Inspired Learning Computation and Recognition

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  • Publisher : Elsevier
  • Release : 31 January 2020
  • ISBN : 0128197951
  • Page : 788 pages
  • Rating : 4.5/5 from 103 voters

Brain and Nature Inspired Learning Computation and Recognition Book PDF summary

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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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 Date : 2020-01-31
  • ISBN : 0128197951
DOWNLOAD 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 Date : 2020-01-18
  • ISBN : 9780128204047
DOWNLOAD 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 Date : 2021-02-18
  • ISBN : 9780128220672
DOWNLOAD BOOKProcess Safety and Big Data

Process Safety and Big Data discusses the principles of process safety and advanced information technologies. It explains how these principles are applied to the process industry and provides examples of applications in process safety control and decision support systems. This book helps to address problems that researchers face in industry that are the result of increased process complexity and that have an impact on safety issues. It shows ways to tackle these safety issues by implementing modern information technologies, such

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 Date : 2016-07-26
  • ISBN : 9781522507895
DOWNLOAD 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

Nature-Inspired Computing Design, Development, and Applications

Nature-Inspired Computing Design, Development, and Applications
  • Author : Nunes de Castro, Leandro
  • Publisher : IGI Global
  • Release Date : 2012-05-31
  • ISBN : 9781466615755
DOWNLOAD 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

Brain-Inspired Computing

Brain-Inspired Computing
  • Author : Katrin Amunts,Lucio Grandinetti,Thomas Lippert,Nicolai Petkov
  • Publisher : Springer Nature
  • Release Date : 2021-07-20
  • ISBN : 9783030824273
DOWNLOAD BOOKBrain-Inspired Computing

This open access book constitutes revised selected papers from the 4th International Workshop on Brain-Inspired Computing, BrainComp 2019, held in Cetraro, Italy, in July 2019. The 11 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with research on brain atlasing, multi-scale models and simulation, HPC and data infra-structures for neuroscience as well as artificial and natural neural architectures.

Nature-Inspired VLSI Circuits - From Concept to Implementation

Nature-Inspired VLSI Circuits - From Concept to Implementation
  • Author : Hongjiang Song
  • Publisher : Lulu.com
  • Release Date : 2022-08-15
  • ISBN : 9781387847167
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Nature-Inspired Computing for Control Systems

Nature-Inspired Computing for Control Systems
  • Author : Hiram Eredín Ponce Espinosa
  • Publisher : Springer
  • Release Date : 2015-12-16
  • ISBN : 9783319262307
DOWNLOAD 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

Handbook of Research on Soft Computing and Nature-Inspired Algorithms

Handbook of Research on Soft Computing and Nature-Inspired Algorithms
  • Author : Shandilya, Shishir K.,Shandilya, Smita,Deep, Kusum,Nagar, Atulya K.
  • Publisher : IGI Global
  • Release Date : 2017-03-10
  • ISBN : 9781522521297
DOWNLOAD BOOKHandbook of Research on Soft Computing and Nature-Inspired Algorithms

Soft computing and nature-inspired computing both play a significant role in developing a better understanding to machine learning. When studied together, they can offer new perspectives on the learning process of machines. The Handbook of Research on Soft Computing and Nature-Inspired Algorithms is an essential source for the latest scholarly research on applications of nature-inspired computing and soft computational systems. Featuring comprehensive coverage on a range of topics and perspectives such as swarm intelligence, speech recognition, and electromagnetic problem solving,

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 Date : 2010-02-04
  • ISBN : 9783642112171
DOWNLOAD 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

Neural Information Processing

Neural Information Processing
  • Author : Bao-Liang Lu,Liqing Zhang,James Kwok
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-10-26
  • ISBN : 9783642249570
DOWNLOAD BOOKNeural Information Processing

The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems
  • Author : Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer
  • Publisher : IGI Global
  • Release Date : 2018-03-31
  • ISBN : 9781522547709
DOWNLOAD BOOKNature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals,

Nature Inspired Problem-Solving Methods in Knowledge Engineering

Nature Inspired Problem-Solving Methods in Knowledge Engineering
  • Author : José Mira,José R. Álvarez
  • Publisher : Springer
  • Release Date : 2007-06-23
  • ISBN : 9783540730552
DOWNLOAD BOOKNature Inspired Problem-Solving Methods in Knowledge Engineering

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.

Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms
  • Author : Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2021-02-08
  • ISBN : 9783110676150
DOWNLOAD BOOKNature-Inspired Optimization Algorithms

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today,

Nature-Inspired Design of Hybrid Intelligent Systems

Nature-Inspired Design of Hybrid Intelligent Systems
  • Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
  • Publisher : Springer
  • Release Date : 2016-12-08
  • ISBN : 9783319470542
DOWNLOAD BOOKNature-Inspired Design of Hybrid Intelligent Systems

This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural