| Document Type
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BL
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| Record Number
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717244
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| Doc. No
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b536930
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| Main Entry
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Adrian J. Shepherd.
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| Title & Author
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Second-order methods for neural networks : : fast and reliable training methods for multi-layer perceptrons\ Adrian J. Shepherd.
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| Publication Statement
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London ; New York: Springer, ©1997.
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| Series Statement
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Perspectives in neural computing.
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| Page. NO
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(xiv, 145 pages) : illustrations
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| ISBN
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1447109538
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: 9781447109532
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| Contents
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1 Multi-Layer Perceptron Training --;1.1 Introduction to MLPs --;1.2 Error Surfaces and Local Minima --;1.3 Backpropagation --;2 Classical Optimisation --;2.1 Introduction to Classical Methods --;2.2 General Numerical Considerations --;3 Second-Order Optimisation Methods --;3.1 Line-Search Strategies --;3.2 Model-Trust Region Strategies --;3.3 Multivariate Methods for General Nonlinear Optimisation --;3.4 Special Methods for Nonlinear Least Squares --;3.5 Comparison of Methods --;4 Second-Order Training Methods for MLPs --;4.1 The Calculation of Second Derivatives --;4.2 Reducing Storage and Computational Costs --;4.3 Second-Order On-Line Training --;4.4 Conclusion --;5 An Experimental Comparison of MLP Training Methods --;5.1 Benchmark Training Tasks --;5.2 Initial Training Conditions --;5.3 Experimental Results --;6 Global Optimisation --;6.1 Introduction to Global Methods --;6.2 Expanded Range Approximation (ERA) --;6.3 The TRUST Method.
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| Abstract
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About This Book This book is about training methods - in particular, fast second-order training methods - for multi-layer perceptrons (MLPs).
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| Subject
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Neural networks (Computer science)
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| Subject
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Neurale netwerken.
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| Subject
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Perceptrons.
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| LC Classification
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Q327.A375 1997
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| Added Entry
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Adrian J Shepherd
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