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Brain And Nature-Inspired Learning, Computation And Recognition eBook

by Fang Liu, Weitong Zhang, Ronghua Shang e Licheng Jiao
language: english
Publisher: ELSEVIER SCIENCE, January of 2020 ‧
258,38€
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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

Brain And Nature-Inspired Learning, Computation And Recognition

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

Property Description
ISBN: 9780128204047
Publisher: ELSEVIER SCIENCE
Release Date: January of 2020
Language: English
Format: eBook
File Format and Compatibility:
Categories: eBooks in English > Engineering > General Engineering
EAN: 9780128204047
Acessibilidade: Ver características de acessibilidade indicadas pelo editor