A Comparison of Nonlinear Optimisation Strategies for Feed-Forward Adaptive Layered Networks

This work discusses various learning strategies which may be employed for the generic class of layered feed-forward adaptive networks exemplified by the traditional Multilayer Perceptron. Such a network is only useful if a set of weight values exists which allows the network to form a good approxima...

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Bibliographic Details
Main Authors: Webb, A R, Lowe, David, Bedworth, M D
Format: Report
Language:English
Subjects:
ALGORITHMS
Computer Programming and Software
FOREIGN REPORTS
LEARNING
OUTPUT
PATTERNS
PROCESSING
SCALE
SPEECH RECOGNITION
STRATEGY
UNITED KINGDOM
VALUE
WEIGHT
WORDS(LANGUAGE)
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Summary:This work discusses various learning strategies which may be employed for the generic class of layered feed-forward adaptive networks exemplified by the traditional Multilayer Perceptron. Such a network is only useful if a set of weight values exists which allows the network to form a good approximation to an underlying (and possibly unknown) transformation between input and output patterns.