The Classification of Acidic Dyes with Artificial Neural Network

Chem. J. Chinese Universities ›› 1997, Vol. 18 ›› Issue (11): 1783.

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The Classification of Acidic Dyes with Artificial Neural Network

ZHANG Rui-Sheng, YAN Ai-Xia, LIU Man-Cang, HU Zhi-De

Department of Chemistly, Lanzhou University, Lanzhou 730000

Received:1996-08-01 Online:1997-11-24 Published:1997-11-24

Abstract

Abstract: The acidic dyes were classified by using Extented Delta-Bar-Delta (EDBD).Thebest structure of network was 4-6-5.The optimized learning times is about 5000.It isdifficult to classify these dyes because their structures are very similar.Compared with GCEDMand other methods which were applied formerly, the EDBDmethod have the advantanges ofmore stable classification standard, fewer parameters and quicker velocity.

Key words: Artificial neural networks, Acidic dyes, Molecular connection index, GCEDM

CLC Number:

TP18

TrendMD:

ZHANG Rui-Sheng, YAN Ai-Xia, LIU Man-Cang, HU Zhi-De. The Classification of Acidic Dyes with Artificial Neural Network[J]. Chem. J. Chinese Universities, 1997, 18(11): 1783.

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The Classification of Acidic Dyes with Artificial Neural Network

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