Neural Computing - An Introduction

Neural Computing - An Introduction

$126.00 AUD $10.00 AUD

Availability: in stock at our Melbourne warehouse.

Condition: SECONDHAND

NB: This is a secondhand book in very good condition. See our FAQs for more information. Please note that the jacket image is indicative only. A description of our secondhand books is not always available. Please contact us if you have a question about this title.
Author: R Beale (Department of Computer Science, University of York, UK)

Format: Paperback

Number of Pages: 256


Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function. A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists.



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Description
NB: This is a secondhand book in very good condition. See our FAQs for more information. Please note that the jacket image is indicative only. A description of our secondhand books is not always available. Please contact us if you have a question about this title.
Author: R Beale (Department of Computer Science, University of York, UK)

Format: Paperback

Number of Pages: 256


Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function. A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists.