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Brain-Like Computing and Intelligent Information Systems ePub download

by Shunichi Amari,Nikola Kasabov

  • Author: Shunichi Amari,Nikola Kasabov
  • ISBN: 9813083581
  • ISBN13: 978-9813083585
  • ePub: 1723 kb | FB2: 1114 kb
  • Language: English
  • Category: Computer Science
  • Publisher: Springer; ppl04 edition (May 29, 2002)
  • Pages: 533
  • Rating: 4.7/5
  • Votes: 933
  • Format: rtf doc mbr lrf
Brain-Like Computing and Intelligent Information Systems ePub download

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Start by marking Brain-Like Computing and Intelligent Information Systems as Want to Read: Want to Read savin. ant to Read. This book introduces and defines a new area in computer science and artificial intelligence called brain-like computing. Brain-like computing combines traditional computational techniques with computational and cognitive ideas, principles and models inspired by the brain for building information systems used in our every day life. Image and speech processing, creative This book introduces and defines a new area in computer science and artificial intelligence called brain-like computing.

Shunichi Amari is the author of Brain-Like Computing and Intelligent . See if your friends have read any of Shunichi Amari's books.

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Brain-like computing combines traditional computational techniques with cognitive models inspired by the . oceedings{, title {Brain-like Computing and Intelligent Information Systems}, author {Shun-ichi Amari and Nikola K. Kasabov}, year {1998} }.

Brain-like computing combines traditional computational techniques with cognitive models inspired by the brain, for building information systems. Image and speech processing, creative planning and design, adaptive control, knowledge acquisition, and database mining, are only a few areas where brain-like computing is applied. Shun-ichi Amari, Nikola K. Kasabov.

This book presents generic computational models and techniques that can be used for the . Bibliographic Information. Evolving Connectionist Systems. Perspectives in Neural Computing.

This book presents generic computational models and techniques that can be used for the development of evolving, adaptive modelling systems. The models and techniques used are connectionist-based (as the evolving brain is a highly suitable paradigm) and, where possible, existing connectionist models have been used and extended. The first part of the book covers methods and techniques, and the second focuses on applications in bioinformatics, brain study, speech, image, and multimodal systems.

Meeting Name: International Conference on Neural Information Processing (4th : 1997 :, New Zealand). 00 Author: Delinsky, Barbara. leave here couple of words about this book: Tags: 20th century art.

FREE shipping on qualifying offers. The first part (first seven chapters) of the book is devoted to the methods used in connectionists systems and here readers can find detailed description of the algorithms. This book is outstanding introduction for readers unfamiliar with the learning systems.

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Brain-like Computing and Intelligent Information System. Neuromorphic systems have recently emerged as promising candidates for future computing paradigms. The Handbook of Brain Theory and Neural Network. Evolving Connectionist Systems and Evolving Brains. Nikola Kirilov Kasabov. Min-Max circuits are indispensable building blocks in Artificial Neural Networks and Fuzzy systems. For instance, the inference engine in Fuzzy controllers that constitutes the decision-making unit in such systems is a Min-Max circuit.

This book can be found in: Computing & Internet Computer science Artificial intelligence Business, Finance & Law Business Business mathematics & systems Science, Technology & Medicine Mathematics & science Biology, life sciences.

Discover Book Depository's huge selection of Shun Ichi Amari books online. Brain-Like Computing and Intelligent Information Systems. Free delivery worldwide on over 20 million titles. Progress in Neural Information Processing.

This book introduces and defines a new area in computer science and artificial intelligence called brain-like computing. Brain-like computing combines traditional computational techniques with computational and cognitive ideas, principles and models inspired by the brain for building information systems used in our every day life. Image and speech processing, creative planning and design, adaptive control, knowledge acquisition and database mining, are only a few areas where brain-like computing is applied. The more is known about the functionality of the brain the more intelligent the information systems will become. The book comprises chapters written by well known specialists in this field and can be used by scientists and graduate students from different areas, as well as by wider audience of people interested in the present and future development of this exciting area.
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