Information-Theoretic Aspects of Neural Networks

Information-Theoretic Aspects of Neural Networks is an exceptional resource for engineers and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. It presents focused insight as well as new perspectives on information-processing as it relates to real and artificial networks. Filled with tables and figures, it provides alternative strategies for designing and understanding complex neural networks, introduces new cost-functions, and explores new avenues in the field. The author also includes exhaustive references, some presented here for the first time.

List of contents

IntroductionNeural Complex: A Nonlinear CI System?Neural Complex vis-a-vis Statistical Mechanics, Entropy, Thermodynamics and Information TheoryNeural Communication and Control in Information-Theoretic PlaneNeural Complexity: An Algorithmic RepresentationNeural Information DynamicsSemiotic Framework of Neural Information ProcessingGenetic Algorithmic Based Depiction of Neural InformationEpilogueAppendix

About the author

P. S. Neelakanta

Summary

Intended for engineers and computer scientists working in the field of artificial neural networks, this book presents insight as well as different perspectives on information-processing as it relates to real and artificial networks. It provides alternative strategies for designing and understanding complex neural networks.

Product details

• Authors: P. S. Neelakanta, Neelakanta P. S.
• Assisted by: P.S. Neelakanta (Editor)
• Publisher: Taylor and Francis
• Languages: English
• Product format: Hardback
• Released: 30.03.1999
• EAN: 9780849331985
• ISBN: 978-0-8493-3198-5
• No. of pages: 416
• Weight: 930 g
• Illustrations: Tabellen, schwarz-weiss
• Subjects: Humanities, art, music > History > Antiquity; Natural sciences, medicine, IT, technology > IT, data processing > General, dictionaries; TECHNOLOGY & ENGINEERING / Telecommunications, Communications engineering / telecommunications, COMPUTERS / Data Science / Neural Networks, Neural networks and fuzzy systems, Neural networks & fuzzy systems