Original Contribution: Mapping neural network derived from the parzen window estimator

Authors:
Henrik Schløler;Uwe Hartmann
Affiliations:
-;-
Venue:
Neural Networks
Year:
1992

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Abstract

This article presents a general theoretical basis for the construction of mapping neural networks. The theory is based on the Parzen Window estimator for joint probability density functions. From the density estimator a consistent estimator for continous conditional expectation functions is deduced. The latter estimator is considered as being the general outline of a variety of mapping neural networks. Networks developed by other authors are considered special cases and a novel strategy for training such networks is presented.