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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.
A new model is introduced in this paper to construct the input-output relation in the prediction and control problem of non-analytic systems. The historical input-output data of general system is de-noised with wavelet transformation and SVM, and the input-output variables which can reflect the features of the system are determined with correlation analysis and sensitivity analysis. With the historical...
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