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Neural Smithing: Supervised - Hardcover, by Reed Russell D.; - Very Good
US $10.22
ApproximatelyRM 43.37
Condition:
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Located in: Philadelphia, Pennsylvania, United States
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Estimated between Sat, 2 Aug and Fri, 8 Aug to 94104
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eBay item number:406055339314
Item specifics
- Condition
- Book Title
- Neural Smithing: Supervised Learning in Feedforward Artificial Ne
- ISBN
- 9780262181907
About this product
Product Identifiers
Publisher
MIT Press
ISBN-10
0262181908
ISBN-13
9780262181907
eBay Product ID (ePID)
757749
Product Key Features
Number of Pages
360 Pages
Language
English
Publication Name
Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks
Publication Year
1999
Subject
Computer Science, Neural Networks
Type
Textbook
Subject Area
Computers
Format
Hardcover
Dimensions
Item Height
1.1 in
Item Weight
29.1 Oz
Item Length
9 in
Item Width
7.2 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
98-013416
Dewey Edition
21
Grade From
College Graduate Student
Illustrated
Yes
Dewey Decimal
006.3/2
Synopsis
Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.
LC Classification Number
QA76.87.R44 1998
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- _***h (44)- Feedback left by buyer.Past monthVerified purchaseVery good.
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