Li Yingchun

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Aiming at the condition that the fault mechanism of a store management system is complicated and it is difficult for diagnosis, an expert system for the equipment based on both neural networks and generate rules is discussed. At first, expert experience including fault phenomenons and reasons are summarized. Considering that expert knowledge is(More)
With the development of rough set theory and it’s strengths and weaknesses in the recognition field, the rule and recognition fusing method of noisy-robust rough set (NRRS) are proposed based on full normalized deposal, the non-uniform companding and simple dynamic clustering coding. The robustness of NRRS is improved by weighted reliability during(More)
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