Please use this identifier to cite or link to this item: https://doi.org/10.1016/0893-6080(88)90570-9
Title: Object-oriented language for neural network simulation
Authors: Loe, K.F. 
Hsu, L.S. 
Chan, S.C. 
Low, H.B. 
Issue Date: 1988
Source: Loe, K.F.,Hsu, L.S.,Chan, S.C.,Low, H.B. (1988). Object-oriented language for neural network simulation. Neural Networks 1 (1 SUPPL) : 550-. ScholarBank@NUS Repository. https://doi.org/10.1016/0893-6080(88)90570-9
Abstract: This paper describes an object oriented language for the simulation of neural networks on supercomputers. It is based on the general framework of Parallel Distributed Processing (PDP) proposed by D.E. Rumelhart and J.L. McClelland. The purpose of the design of our object oriented language is to provide a tool for the user to describe his network connections with ease. A preprocessor will translate the description into the source code of a high level language suitable for numerical computation. The latter will be compiled and executed on a supercomputer. In this way, it will inherit the user friendliness of P3 and at the same time bypass its number crunching bottleneck.
Source Title: Neural Networks
URI: http://scholarbank.nus.edu.sg/handle/10635/111195
ISSN: 08936080
DOI: 10.1016/0893-6080(88)90570-9
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