Description: About this productProduct InformationArtificial 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.Product IdentifiersPublisherThe MIT PressISBN-100262527014ISBN-139780262527019eBay Product ID (ePID)221397726Product Key FeaturesAuthorRussell Reed, Robert J. Marks IIPublication NameNeural Smithing : Supervised Learning in Feedforward Artificial Neural NetworksFormatTrade PaperbackLanguageEnglishPublication Year1999TypeTextbookNumber of Pages360 PagesDimensionsItem Length9.2in.Item Height0.7in.Item Width7.6in.Item Weight13 OzAdditional Product FeaturesAge Range18Grade fromCollege Graduate BeginnerCopyright Date1999Target AudienceTradeTopicComputer ScienceGenreComputers
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Book Title: Neural Smithing : Supervised Learning in Feedforward Artificial N
Item Length: 9.2in.
Item Height: 0.7in.
Item Width: 7.6in.
Author: Russell Reed, Robert J. Marks II
Publication Name: Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks
Format: Trade Paperback
Language: English
Publisher: The MIT Press
Publication Year: 1999
Type: Textbook
Item Weight: 13 Oz
Number of Pages: 360 Pages
