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This paper introduces the current status of the knowledge processing and decision-making of expert system, and proposes a knowledge processing and decision-making model based on the class-frames-production rules and case base in order to solve the problem of large quantity and many types of knowledge in agricultural expert system. We design the knowledge(More)
On the base of analyzing the dynamic characteristics of Elman neural network, this paper proposes to use an improved Elman neural network to forecast in the agricultural production areas against to the BP neural network's static defects. We uses the data of rice pest-Chilo to simulate. The experiment shows that the improved Elman neural network has better(More)
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