Chem. J. Chinese Universities ›› 1997, Vol. 18 ›› Issue (11): 1783.
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ZHANG Rui-Sheng, YAN Ai-Xia, LIU Man-Cang, HU Zhi-De
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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
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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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