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- W2392588102 abstract "It is a complicated and tedious process to classify the mites by means of traditional methods. With the development of artificial intelligence,to design an expert system of classification and identification for Acaroid mites will definitely alter the methods of traditional classification.Through studying the relevant knowledge of taxonomy for the species of Acaroid Mites of Acaridida and expert systems, the characterization for mites and expert systems are combined. This paper applies an object-oriented method,designs and implements an expert system of classification and identification for Acaroid mites based on decision trees.According to the knowledge model of object-oriented decision trees, we propose the record strcture of the knowledge base for Acaroid mites, and design a reasoning mechanism based on decision trees by means of the logic of node objects.The reasoning mechanism realizs the identification of the mites by an inferential strategy. The experimental results prove that the system is of practical value, and satisfies the demand of users." @default.
- W2392588102 created "2016-06-24" @default.
- W2392588102 creator A5009514449 @default.
- W2392588102 date "2012-01-01" @default.
- W2392588102 modified "2023-09-24" @default.
- W2392588102 title "An Expert System for Acaridida Classification and Indentification Based on Decision Trees" @default.
- W2392588102 hasPublicationYear "2012" @default.
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