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According to system modeling thoughts and methods, the conformation model of information naval gun weapon system is established in this article. First, functional needs of information naval gun weapon system, factors composing the function is analyzed, and the resolving model for factors is established, at last, the conformation model of information naval gun weapon system is established by analyzing...
Through literature consulting and correlation analysis, this paper selects seven important indicators which have close relation with CPI. Then on the basis of neural network theory and MATLAB neural network toolbox, this paper constructs a CPI prediction model. Finally, by using test samples to make a emulate experiment, the simulation result indicates that the model is feasible and effectual.
It is important to detect defects in wood, when it reduce the performance. The data and signal processing technology providing researchers with more damage identification problem solution ideas and methods. This article explore the wavelet analysis and artificial neural network for the wood defects based on non-destructive testing, and build an artificial neural network model for wood non-destructive...
Aimed to improve the working efficiency of cone picking robot and release workers from heavy manual labor, a novel RBF neural network based fuzzy self-adaptive Kalman filter is presented in the paper. The position and object input voltage are taken as the inputs of the RBF neural network model. Consider that the traditional BP algorithm has shortcomings of converging slowly and easily trapping a local...
Customer classification refers to a process in which customer information is divided into several sets of same characteristics by certain rules. According to different customer sets, we acquire different customer sets' behavior, and provide them with individual service. Thus customer's satisfaction and loyalty will be promoted highly. This paper employs BP neural networks to classify customer, and...
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