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The article develops a BP network for trip chaining pattern recognition based on the data obtained from Beijing Resident Trip Survey. First a set of socioeconomic and demographic factors related to traveller information which potentially influence trip-chaining patterns are pre-treated through principle components analysis, therefore seven variables are selected as input variables of neural network,...
Water quality evaluation is an important basic work for the water environmental management and protection. This paper presents a new water quality monitoring method based on principal component analysis-wavelet neural network combined model. First, the establishment of water quality evaluation index system, and then using principal component analysis to remove the relevance, overlap information of...
The appraisement of variable importance and contribution is the central problem for variable selection and relevance analysis, particularly in the domains of ecological and medical science. Except for statistical modelling, more interesting methods, such as rough set and artificial neural network, are used to analyze the variable contribution in systems. But the results derived from rough set and...
Based on RAT model method, the fast algorithm of parameter estimation of discrete digital signal is studied in this paper. The model of multi-component LFM signal and the parameter estimation of RAT are presented. The fast algorithm of RAT model method of the discrete digital signal is offered, and residual expansion coefficient(REC) is proposed to testify the performance of parameter estimation,...
To solve the problems in modulation recognition of time-frequency overlapped two-signal in the single-channel, an algorithm based on cyclic cumulants used modulation recognition is presented. Through computing the fourth-order cyclic cumulants of pretreated band signals, the feature vector for classification was extracted, and then use the minimum-error criterion to classify time-frequency overlapped...
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