Implementation of ART1 Architecture on CNAPS® Neuro-Computer
Abstract
This study reports the attempt being made to implement Adaptive Resonance Theory (ART) neural network architecture on Adaptive Solution Inc. CNAPS® 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.
Recommended Citation
K. Ratanapan and C. H. Dagli, "Implementation of ART1 Architecture on CNAPS® Neuro-Computer," Proceedings of SPIE - The International Society for Optical Engineering, vol. 2492, pp. 104 - 110, Society of Photo-optical Instrumentation Engineers, Apr 1995.
The definitive version is available at https://doi.org/10.1117/12.205171
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Art1; CNAPS; Neural networks; Neuro-Computer; Parallel computer; SIMD
International Standard Serial Number (ISSN)
1996-756X; 0277-786X
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 Society of Photo-optical Instrumentation Engineers, All rights reserved.
Publication Date
06 Apr 1995
