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Second-order Methods for Neural Networks
Adrian John Shepherd
€ 62.64
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Description for Second-order Methods for Neural Networks
Paperback. This volume aims to develop understanding of theoretical and practical issues involved in the development of efficient MLP training strategies, and to describe and evaluate the performance of a wide range of specific training algorithm. Special emphasis is placed on strong theoretical foundation. Series: Perspectives in Neural Computing. Num Pages: 145 pages, 30 black & white illustrations, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 9. Weight in Grams: 255.
About This Book This book is about training methods - in particular, fast second-order training methods - for multi-layer perceptrons (MLPs). MLPs (also known as feed-forward neural networks) are the most widely-used class of neural network. Over the past decade MLPs have achieved increasing popularity among scientists, engineers and other professionals as tools for tackling a wide variety of information processing tasks. In common with all neural networks, MLPsare trained (rather than programmed) to carryout the chosen information processing function. Unfortunately, the (traditional' method for trainingMLPs- the well-knownbackpropagation method - is notoriously slow and unreliable when applied to many prac ... Read more
About This Book This book is about training methods - in particular, fast second-order training methods - for multi-layer perceptrons (MLPs). MLPs (also known as feed-forward neural networks) are the most widely-used class of neural network. Over the past decade MLPs have achieved increasing popularity among scientists, engineers and other professionals as tools for tackling a wide variety of information processing tasks. In common with all neural networks, MLPsare trained (rather than programmed) to carryout the chosen information processing function. Unfortunately, the (traditional' method for trainingMLPs- the well-knownbackpropagation method - is notoriously slow and unreliable when applied to many prac ... Read more
Product Details
Format
Paperback
Publication date
1997
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
145
Condition
New
Series
Perspectives in Neural Computing
Number of Pages
145
Place of Publication
Berlin, Germany
ISBN
9783540761006
SKU
V9783540761006
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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