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Internet Automatic Sales System is be used to assist people in net business. Since part of the talking continent in purchasing is always asked frequently, so the statistic method like TFIDF is applied to deal this issue. Based on the experiment situation, baseline system based on TFIDF achieved very good effect. But the classic algorithm is not enough to reach real application requirement, the Dice...
Effective complex permittivity measurements of liquids are important in microwave engineering, microwave material processing, microwave chemistry, and electrobiology. Artificial neural network computational modules have recently gained recognition as an unconventional and useful tool for microwave technology. Neural networks can be trained to learn the behavior of the effective complex permittivity...
According to the problem of predicting highway port freight volume, the BP neural network combination forecasting model is proposed based on the study of commonly used forecasting methods including time series forecast, gray system forecast and combination forecast method. Combined with the freight traffic condition of Suifenhe highway port, the combination forecasting model is verified. The experimental...
This paper is focusing on the neural network based classifier design of modulation types for communication signals. A tree-structured neural network is proposed which could make correct identification among 13 modulation types by the use of comprehensive features, including power spectral features, cyclic spectral features and high-order cumulant features. The tree-structured neural network is a self-organizing,...
Image is analysed under multi-scale filtering in Canny algorithm frame. Firstly, scale multiplication is defined by filter responses multiplication of two different scales. Then the modulus and orientation is determined by the similarity of adjacent scales. Thirdly, a threshold value is chosen to eliminate false edge. Finally, the edge is obtained after non-maximum suppression. Experimental results...
Fermentation process is a time-variable, nonlinear, uncertain and multivariable coupling system, and high performance decoupling control is a target to seek. An ath-order inverse decoupling control strategy based on fuzzy-neural network inverse system for a multivariable fermentation process is proposed, in which the inverse system combines with the fuzzy-neural network. According to the nonlinear...
Fermentation process is a complex nonlinear dynamic coupling process. As it is very difficult to measure the primary biolog parametre online. It limits the advanced control in the biochemical processes. The least-squares support vector machine which used to model the Lysine fermentation process by soft sensor is established. In order to overcome the overfitting problem caused by noises and outliers...
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