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Stock prediction by neural network is developed based on fuzzy neural network technology using past stock data to determine fuzzy set of laws and construct potential predictions. Learning Algorithm is put into operation. Input data to every network are average of weekly stock data that acquired from any stock related URL such as http://www.moneycontrol.com. Out put recreated data are also average...
By analyzing the character of oil equipment detection, the intelligent fusion model of detection information of oil equipment has been established. The feature-level fusion algorithm based on fuzzy neural network and expert system has been proposed, in which the expert system has been embedded into fuzzy neural network so that it could choose the membership function and adjust the network structure...
Pulping process is an important link in paper industry. To control the pulping time and get homogenized and well-proportioned pulp, pulper was improved by an expert system based on BP network and fuzzy controller. Pulp consistency and variation concentration are the inputs and pulping time is the output of the system. By empirical data, membership functions of consistency, variation concentration...
In order to realization electronic parts product appearance quality detection control, one kind of processor based on the intelligent knowledge automatic extraction and system intelligence modeling was presented. In the processor, wavelet-fuzzy technique and neural network technique are combined. Uses the fuzzy wavelet extraction image feature, and wavelet function is used as fuzzy membership function...
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