Comments:ALTERNATE EDITION: International Edition. Paperback. Brand New. Different ISBN number and Cover Page but contents similer to US edition , however the end chapter exercises may differ. No CD/Access code with this. Legal to use despite any disclaimer on cover as per US courts. Choose Expedited shipping for 3-5 business days delivery. We can ship to PO Box Addresses
Comments: Buy with confidence. Excellent Customer Service & Return policy. Ships Fast. 24*7 Customer Service.
30-day money back guarantee
Publisher: Mit Pr
Anderson, James A.
An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas. Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject. The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.Anderson, James A. is the author of 'Introduction to Neural Networks' with ISBN 9780262011440 and ISBN 0262011441.
With our dedicated customer support team, 30-day no-questions-asked return policy, and our price match guarantee, you can rest easy knowing that we're doing everything we can to save you time, money, and stress.
Book condition guidelines
New (perfect condition)
Pages are clean and are not marked by notes, highlighting or fold.
Like new (excellent condition)
Pages are clean and are not marked by notes, highlighting or folds.
Very good (good condition)
Pages are intact and may have minimal notes and/or highlighting or folds.
Good (clean condition)
All pages and the cover is intact. The spine may show signs of wear. Pages include notes and/or highlighting.
Acceptable (readable condition)
All pages and the cover is intact. Pages include considerable notes in pen or highlighter, but the text is not obscured.
How do rentals work?
Save up to 90% on the largest selection of textbook rentals in the business. We have the lowest prices - guaranteed.
Choose between standard or expedited shipping to make sure that your textbooks arrive in time for class.
Return for free!
When your books are due, just pack them up and ship them back. And don't worry about shipping - it's absolutely free!