Implementation of the adaptive resonance theory (ART1) architecture on a CNAPS neurocomputer

Kanchitpol Ratanapan; Cihan H. Dagli

doi:10.1117/12.205171

6 April 1995 Implementation of the adaptive resonance theory (ART1) architecture on a CNAPS neurocomputer

Kanchitpol Ratanapan, Cihan H. Dagli

Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205171
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

This study reports the attempt being made to implement adaptive resonance theory (ART) neural network architecture on Adaptive Solution Inc. CNAPS^R Neuro-Computer. The architecture is being implemented on a single instruction, multiple data (SIMD) parallel computer, having 256 processors. CNAPS-C language, modified ANSI C having parallel construction, is used in generating the ART code. Five important issues in the implementation are addressed. The performance of the implementation is used to bench-mark against the sequential version using standard data sets.

Citation Download Citation

Kanchitpol Ratanapan and Cihan H. Dagli "Implementation of the adaptive resonance theory (ART1) architecture on a CNAPS neurocomputer", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205171

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