Superior training of artificial neural networks using weight-space partitioning

H. V. Gupta; Kuo Lin Hsu; S. Sorooshian

doi:10.1109/ICNN.1997.614192

Superior training of artificial neural networks using weight-space partitioning

H. V. Gupta, Kuo Lin Hsu, S. Sorooshian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

17 Scopus citations

Abstract

Linear least squares simplex (LLSSIM) is a new algorithm for batch training of three-layer feedforward artificial neural networks (ANN), based on a partitioning of the weight space. The input-hidden weights are trained using a «multi-start downhill simplex» global search algorithm, and the hidden-output weights are estimated using «conditional linear least squares». Monte-Carlo testing shows that LLSSIM provides globally superior weight estimates with significantly fewer function evaluations than the conventional backpropagation, adaptive backpropagation, and conjugate gradient strategies.

Original language	English (US)
Title of host publication	1997 IEEE International Conference on Neural Networks, ICNN 1997
Pages	1919-1923
Number of pages	5
DOIs	https://doi.org/10.1109/ICNN.1997.614192
State	Published - 1997
Event	1997 IEEE International Conference on Neural Networks, ICNN 1997 - Houston, TX, United States Duration: Jun 9 1997 → Jun 12 1997

Publication series

Name	IEEE International Conference on Neural Networks - Conference Proceedings
Volume	3
ISSN (Print)	1098-7576

Conference

Conference	1997 IEEE International Conference on Neural Networks, ICNN 1997
Country/Territory	United States
City	Houston, TX
Period	6/9/97 → 6/12/97

ASJC Scopus subject areas

Software

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10.1109/ICNN.1997.614192

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Superior training of artificial neural networks using weight-space partitioning. / Gupta, H. V.; Hsu, Kuo Lin; Sorooshian, S.

1997 IEEE International Conference on Neural Networks, ICNN 1997. 1997. p. 1919-1923 614192 (IEEE International Conference on Neural Networks - Conference Proceedings; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gupta, HV, Hsu, KL & Sorooshian, S 1997, Superior training of artificial neural networks using weight-space partitioning. in 1997 IEEE International Conference on Neural Networks, ICNN 1997., 614192, IEEE International Conference on Neural Networks - Conference Proceedings, vol. 3, pp. 1919-1923, 1997 IEEE International Conference on Neural Networks, ICNN 1997, Houston, TX, United States, 6/9/97. https://doi.org/10.1109/ICNN.1997.614192

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doi = "10.1109/ICNN.1997.614192",

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Superior training of artificial neural networks using weight-space partitioning

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