Accelerating learning in a neural network for sonar signal classification

Sridhar Narayan; Gene A. Tagliarini; Edward W. Page

doi:10.1117/12.152623

19 August 1993 Accelerating learning in a neural network for sonar signal classification

Sridhar Narayan, Gene A. Tagliarini, Edward W. Page

Proceedings Volume 1966, Science of Artificial Neural Networks II; (1993) https://doi.org/10.1117/12.152623
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Ensemble encoding employs multiple, overlapping receptive fields to yield a distributed representation of analog signals. The effect of ensemble encoding on learning in multi-layer perceptron (MLP) networks is examined by applying it to a neural learning benchmark, sonar signal classification. Results suggest that, when used to encoded input patterns, ensemble encoding can accelerate learning and improve classification accuracy in MLP networks.

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Sridhar Narayan, Gene A. Tagliarini, and Edward W. Page "Accelerating learning in a neural network for sonar signal classification", Proc. SPIE 1966, Science of Artificial Neural Networks II, (19 August 1993); https://doi.org/10.1117/12.152623

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