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Validation of a RBFN Model by Sensitivity Analysis Read chapter Read first chapter

2003 | OriginalPaper | Chapter

Reinforced Search in Stochastic Neural Network

Authors : Mira Trebar, Andrej Dobnikar

Published in: Artificial Neural Nets and Genetic Algorithms

Publisher: Springer Vienna

Included in: Professional Book Archive

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A reinforced search algorithm for the stochastic feedforward neural networks is described. A stochastic neuron is used in a network as a searching unit. Reinforcement signal from environment is used for weights and variance adaptation. This is experimentally compared with more traditional techniques like gradient-based learning algorithm and evolutionary algorithm.

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Metadata
Title
Reinforced Search in Stochastic Neural Network
Authors
Mira Trebar
Andrej Dobnikar
Copyright Year
2003
Publisher
Springer Vienna
Book
Artificial Neural Nets and Genetic Algorithms

Print ISBN: 978-3-211-00743-3

Electronic ISBN: 978-3-7091-0646-4

Copyright Year: 2003

DOI
https://doi.org/10.1007/978-3-7091-0646-4_9