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NEUCOMP - A NEURAL-NETWORK COMPILER
被引:1
|作者:
EVANS, DJ
SULAIMAN, MN
机构:
[1] Parallel Agorithms Research Centre, Loughborough University of Technology, Leicestershire
关键词:
NNSIM;
OBJECT-ORIENTED NEURAL NETWORK LANGUAGE;
DESIRE NEUNET;
NEUCOMP;
MULTILAYERED PERCEPTRON;
KOHONEN NETWORK;
ART NETWORK;
D O I:
10.1080/00207169408804312
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
NEUCOMP is a Neural Network compiler that compiles the program of a particular NN model written as a list of mathematical specifications (known as NEUCOMP language) and translates it into a chosen target program. The mathematical specifications used are represented by scalar, vector and matrix assignments. The NEUCOMP language is a procedual language for general purpose NN models. It combines with an existing graphical package which can portray the NN architecture and display a graph of the results. The NN models being considered so far are the Multi-layered Perceptron, Kohonen Self-Organizing Network and Adaptive Resonance Theory (ART). The Multi-layered networks use a supervised learning algorithm whilst the Kohonen and ART networks use unsupervised learning.
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页码:29 / 44
页数:16
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