IEEE - Institute of Electrical and Electronics Engineers, Inc. - Using feature trimming to improve the performance of Dystal

1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings KES'99

Author(s): Clark, D.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 January 1999
Conference Location: Adelaide, SA, Australia, Australia
Conference Date: 31 August 1999
Page(s): 411 - 414
ISBN (Paper): 0-7803-5578-4
DOI: 10.1109/KES.1999.820210
Regular:

Dystal is a simple, biologically-based artificial neural network which trains much faster than backpropagation. It's developers use the correlation coefficient as a measure of similarity when... View More

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