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Published in:
2006 | OriginalPaper | Chapter
A Neural Network Module with Pretuning for Search and Reproduction of Input-Output Mapping
Author : Igor Shepelev
Published in: Artificial Neural Networks – ICANN 2006
Publisher: Springer Berlin Heidelberg
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A neural network that uses a pretuning procedure for function approximation is presented. Unlike traditional neural network algorithms in which changeable parameters are multiplicative weights of connections between neurons in the network, the pretuning procedure deals with additive thresholds of interneurons of the proposed neural network and is a dynamical combinatory inhibition of these neurons. It is shown that in this case the neural network can combine local approximation and distributed activation. The usefulness of the neural network with pretuning (NNP) for the tasks of search and reproduction of sensorimotor mapping of robot is briefly discussed.