Brain and Nature Inspired Learning Computation and Recognition

Produk Detail:
  • Author : Licheng Jiao
  • Publisher : Elsevier
  • Pages : 788 pages
  • ISBN : 9780128197950
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Brain and Nature Inspired Learning Computation and Recognition

Download or Read online Brain and Nature Inspired Learning Computation and Recognition full in PDF, ePub and kindle. this book written by Licheng Jiao and published by Elsevier which was released on 31 January 2020 with total page 788 pages. We cannot guarantee that Brain and Nature Inspired Learning Computation and Recognition book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

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 BOOK 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

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 BOOK 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

Process Safety and Big Data

Process Safety and Big Data
  • Author : Sagit Valeev,Natalya Kondratyeva
  • Publisher : Elsevier
  • Release : 18 February 2021
GET THIS BOOK Process 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 : 26 July 2016
GET THIS BOOK Nature 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 : 31 May 2012
GET THIS BOOK Nature 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 : Lucio Grandinetti,Thomas Lippert,Nicolai Petkov
  • Publisher : Springer
  • Release : 16 October 2014
GET THIS BOOK Brain Inspired Computing

This book constitutes the thoroughly refereed conference proceedings of the International Workshop on Brain-inspired Computing, BrainComp 2013, held in Cetraro, Italy, in July 2013. The 16 revised full papers were carefully reviewed and selected from numerous submissions and cover topics such as brain structure and function as a neuroscience perspective, computational models and brain-inspired computing, HPC and visualization for human brain simulations.

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 BOOK Applied 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

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 BOOK Nature 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 : 10 March 2017
GET THIS BOOK Handbook 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,

Frontiers in Nature Inspired Industrial Optimization

Frontiers in Nature Inspired Industrial Optimization
  • Author : Mahdi Khosravy,Neeraj Gupta,Nilesh Patel
  • Publisher : Springer Nature
  • Release : 06 August 2021
GET THIS BOOK Frontiers in Nature Inspired Industrial Optimization

The book provides a collection of recent applications of nature inspired optimization in industrial fields. Different optimization techniques have been deployed, and different problems have been effectively analyzed. The valuable contributions from researchers focus on three ultimate goals (i) improving the accuracy of these techniques, (ii) achieving higher speed and lower computational complexity, and (iii) working on their proposed applications. The book is helpful for active researchers and practitioners in the field.

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 BOOK Advances 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 : 26 October 2011
GET THIS BOOK Neural 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 Problem Solving Methods in Knowledge Engineering

Nature Inspired Problem Solving Methods in Knowledge Engineering
  • Author : José Mira,José R. Álvarez
  • Publisher : Springer
  • Release : 23 June 2007
GET THIS BOOK Nature 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 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 : 31 March 2018
GET THIS BOOK Nature 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,