New fuzzy BP neural network and its application in the network management;

The segment fuzzy BP Neural Network is adopted to predict the passenger traffic volume of railways in data mining based on analyzing the data feature of railway passenger tickets.

Then, the formulas of difference functions and relative membership degree, model of BP neural network with fuzzy optimization, equation of rank feature values are presented, and relevant equations are analyzed.

Diagnosis concrete process of the method is as follows: wavelet packet decomposition is adopted to extract Shannon entropy of sample signals from each frequency band,and which combining with other quantitative index served as eigenvector to input rolling bearing fault diagnosis based on high-order fuzzy neural network after be selected.

In order to consider the factors synthetically on safety evaluation, the BP network model is adopted to build up the safety evaluation method of dykes and dams by the artificial neural network.

Based on existing theories and actual values from current standards,the effects of major factors affecting ACSR are quantified,and based on BP network model,the coefficient is estimated using C code.

the cluster′s index is chosen based on the valid precipitation in each growth period and the sensitiveness coefficient,and fuzzy clustering iteration model is utilized to cluster the data of many years precipitation of irrigation section,then the BP network model is formed,finally,the change tendency of the profit and loss of agricultural moisture in the future is forecasted.