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Research on the good and bad points of fuzzy theory and neural network technology in fault diagnosis. Combine them in this paper with the method connected. Firstly using fuzzy method to process the information, and then diagnosis of the faults with neural networks approaching ability. Construct inference system to solve complicated faults happened in gasoline engine with this method. The results of...
Based on analyzing fundamental principle of Back Propagation Network Model, in view of the limitations of BP algorithm, this paper proposed the homologous improved-algorithm from the two aspects of quickening the BP learning speed and raising the degree of convergence. In the course of the complex water flood development, the paper, considering the adaptability feature of the different random factors...
In this paper, an on-line signature verification system exploiting local and global information using two-stage fusion is presented. At the first stage, global information is extracted as 13-dimensional vector and recognized by majority classifiers, and then local information is extracted as time functions of various dynamic properties and recognized by BP neural network classifier. By fusing global...
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