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- W2361972729 abstract "Knowledge acquisition (KA) is considered the bottleneck of the expert system-building process. To solve this problem,a combination of neural network with traditional knowledge expression and acquisition has been suggested and applied to the developed system. Traditional inference engine has some problems such as inference inefficient and conflict dispel. This paper advances a new method to solve these problems. The new inference engine consists of forward neural network inference and backward logical inference model. And at last the model of artificial neural network is applied in disease diagnosis expert system of tomato." @default.
- W2361972729 created "2016-06-24" @default.
- W2361972729 creator A5054631998 @default.
- W2361972729 date "2004-01-01" @default.
- W2361972729 modified "2023-09-28" @default.
- W2361972729 title "Research on the Knowledge Acquisition and Inference Technique of Neural Network and the Application in Tomato Expert System" @default.
- W2361972729 hasPublicationYear "2004" @default.
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