人工神经网络法用于V-PTC材料诸性能的预报

Journal of Applied Sciences ›› 1996, Vol. 14 ›› Issue (3): 375-378.

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ARTIFICIAL NEURAL NETWORK METHOD APPLIED TO PREDICTION OF MULTIPLE PROPERTIES OF V PTC MATERIALS

LU WENCONG¹, YAN LICHENG¹, CHEN NIANYI²

1. Shanghai University Jiading Oampus;
2. Shanghai Institute of Metallurgy, Academia Sinica, Shanghai

Received:1994-12-29 Revised:1995-04-04 Online:1996-09-30 Published:1996-09-30

Abstract

Abstract: The Artificial Neural Network is a new type of information processing system based on modelling the neural system structure of the human brain. It can be used to extract useful information from the experimental data of V-PTC materials. The nonlinear relationships between the multiple properties and the affecting factors including technical conditions and compositions are available by using the B-P algorithm. The results of computer-aided prediction of the multiple properties of V-PTC materials have been proved to be consistent with the experimental values.

Key words: V-PRC materials, artificial neural network, computational chemistry, pattern recognition

LU WENCONG, YAN LICHENG, CHEN NIANYI. ARTIFICIAL NEURAL NETWORK METHOD APPLIED TO PREDICTION OF MULTIPLE PROPERTIES OF V PTC MATERIALS[J]. Journal of Applied Sciences, 1996, 14(3): 375-378.

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ARTIFICIAL NEURAL NETWORK METHOD APPLIED TO PREDICTION OF MULTIPLE PROPERTIES OF V PTC MATERIALS

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