Evolving Connectionist Systems

Evolving Connectionist Systems
Author :
Publisher : Springer Science & Business Media
Total Pages : 465
Release :
ISBN-13 : 9781846283475
ISBN-10 : 1846283477
Rating : 4/5 (77 Downloads)

Book Synopsis Evolving Connectionist Systems by : Nikola K. Kasabov

Download or read book Evolving Connectionist Systems written by Nikola K. Kasabov and published by Springer Science & Business Media. This book was released on 2007-08-23 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition of the must-read work in the field presents generic computational models and techniques that can be used for the development of evolving, adaptive modeling systems, as well as new trends including computational neuro-genetic modeling and quantum information processing related to evolving systems. New applications, such as autonomous robots, adaptive artificial life systems and adaptive decision support systems are also covered.


Evolving Connectionist Systems Related Books

Evolving Connectionist Systems
Language: en
Pages: 308
Authors: Nikola Kasabov
Categories: Computers
Type: BOOK - Published: 2013-03-14 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Many methods and models have been proposed for solving difficult problems such as prediction, planning and knowledge discovery in application areas such as bioi
Evolving Connectionist Systems
Language: en
Pages: 465
Authors: Nikola K. Kasabov
Categories: Computers
Type: BOOK - Published: 2007-08-23 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This second edition of the must-read work in the field presents generic computational models and techniques that can be used for the development of evolving, ad
Evolving Connectionist Systems
Language: en
Pages: 451
Authors: Nikola Kasabov
Categories: Computers
Type: BOOK - Published: 2009-10-12 - Publisher: Springer

DOWNLOAD EBOOK

This second edition of the must-read work in the field presents generic computational models and techniques that can be used for the development of evolving, ad
Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence
Language: en
Pages: 742
Authors: Nikola K. Kasabov
Categories: Technology & Engineering
Type: BOOK - Published: 2018-08-29 - Publisher: Springer

DOWNLOAD EBOOK

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monogra
Future Directions for Intelligent Systems and Information Sciences
Language: en
Pages: 411
Authors: Nikola Kasabov
Categories: Computers
Type: BOOK - Published: 2013-11-11 - Publisher: Physica

DOWNLOAD EBOOK

This edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences. H