Quantized, piecewise linear filter network

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A quantization based piecewise linear filter network is defined. A method for the training of this network based on local approximation in the input space is devised. The training is carried out by repeatedly alternating between vector quantization of the training set into quantization classes and equalization of the quantization classes linear filter mean square training errors. The equalization of the mean square training errors is carried out by adapting the boundaries between neighbor quantization classes such that the differences in mean square training errors are reduced
Original languageEnglish
Title of host publicationProceedings of the IEEE-SP Workshop Neural Networks for Signal Processing
Publication date1993
ISBN (Print)07-80-30928-6
Publication statusPublished - 1993
Event1993 IEEE-SP Workshop of Neural Networks for Signal Proceesing - Linthicum Heights, MD, United States
Duration: 6 Sep 19939 Sep 1993


Workshop1993 IEEE-SP Workshop of Neural Networks for Signal Proceesing
Country/TerritoryUnited States
CityLinthicum Heights, MD
Internet address

Bibliographical note

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