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Image interpretation must obtain accurate position of image, but those questions, brought by angle of imaging equipment placed and camera lens deviation, induce nonlinear geometry distortion of image. The paper proposes the method that utilizes neural network to achieve the correction of geometry distortion of standard grid on the basis of grid image for extracting available exact information of image...
Most of the methods of Chinese chunking are to re-realize the method of English chunking so as to identify Chinese phrases, which is not only waste manpower but also waste time. In this paper, a multi-agent strategy for English chunking is proposed first, whose F??-1 value reaches 95.70%,which is higher than other else methods. Next, through replacing the English part of speech , phrase tags and repository...
In this paper, a comprehensive evaluation of the strength of business model was constructed by combine with entropy method and BP neural network model and a specific algorithm was given. Through many examples, the scientific application of the model has been validated and the evaluation of the level of business has been obtained, the results show that the effect of finance, the effect of competition...
Aim to the problems of fuzzy neural network depending on the initial conditions, the training time long, and being easy to fall into local minimum, this paper studied the combination of particle swarm optimization and fuzzy neural network, presented a fuzzy neural network model based on particle swarm optimization, and applied it in speech recognition system. This model improved the convergence speed...
There are two problems when conditional T-S fuzzy neural network is used directly in speech recognition system. One is the rule disaster problem, that is, the rule number will increase exponentially with the increase of input dimensions. Another problem is the network reasoning failure resulted from input dimensions too large. The paper presented an improved algorithm of T-S fuzzy neural network....
The researches on feature selection play a very important role in the area of classification. In this paper, we introduce a heuristic wrapper method: Classification Contribution-Ratio Based Selection (CCRS). Using RBF neural network as a classifier, we did our experiments on a data set of 74 features extracted from 517 Chinese folk songs which come from 10 regions. The results show that Root Mean...
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