Expert System RECORES for Classification and Prediction of Resistlvities of Rare Earth Complex Oxides

Chem. J. Chinese Universities ›› 1996, Vol. 17 ›› Issue (4): 505.

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Expert System RECORES for Classification and Prediction of Resistlvities of Rare Earth Complex Oxides

LU Wen-Cong¹, YAN Li-Cheng¹, LIU Hong-Lin², CHEN Nian-Yi²

1. Department of Chemistry, Shanghai University, Shanghai 201800;
2. Shanghai Institute of Metallurgy, Academia Sinica, Shanghai

Received:1995-04-12 Online:1996-04-24 Published:1996-04-24

Abstract

Abstract: The relationship between the resistivities of rare earth complex oxides and theircharacteristic parameters was studied by chemical bond parameter-pattern recognitionmethod.An expert system,RECORES,for the classification and prediction of resistivitiesof the compounds has been built on the basis of the classification diagrams and rules found bythe principal component analysis and Fisher method.The expert system posesses the basicproperties of common expert system as well as the pattern recognition package used as a visual and effective tool to save, represent and acquire the knowledges.

Key words: Rare earth complex oxides, Pattern recognition, Expert system

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LU Wen-Cong, YAN Li-Cheng, LIU Hong-Lin, CHEN Nian-Yi. Expert System RECORES for Classification and Prediction of Resistlvities of Rare Earth Complex Oxides[J]. Chem. J. Chinese Universities, 1996, 17(4): 505.

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Expert System RECORES for Classification and Prediction of Resistlvities of Rare Earth Complex Oxides

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