Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks ebook
Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks ebook
Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks by Robert J. Marks II
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Author: Robert J. Marks II
Page Count: 358 pages
Published Date: 31 Mar 1999
Publisher: MIT Press Ltd
Publication Country: Cambridge, Mass., United States
Language: English
Format: eBook
ISBN: 9780262181907
File Name: Neural.Smithing.Supervised.Learning.in.Feedforward.Artificial.Neural.Networks.pdf
Download Link: Neural Smithing Supervised Learning in Feedforward Artificial Neural Networks
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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.
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Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks by Robert J. Marks II
Author: Robert J. Marks II
Page Count: 358 pages
Published Date: 31 Mar 1999
Publisher: MIT Press Ltd
Publication Country: Cambridge, Mass., United States
Language: English
Format: eBook
ISBN: 9780262181907
File Name: Neural.Smithing.Supervised.Learning.in.Feedforward.Artificial.Neural.Networks.pdf
Download Link: Neural Smithing Supervised Learning in Feedforward Artificial Neural Networks
---------------------------------------------------------------
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.
Read online Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks Buy and read online Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks Download and read Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks for pc, mac, kindle, readers Download to iPad/iPhone/iOS, B&N nook Neural Smithing : Supervised Learning in Feedforward Artificial Neural Networks ebook, pdf, djvu, epub, mobi, fb2, zip, rar, torrent
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