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The main purpose of this paper is to predict stream-way transition with group method of data handling (GMDH). Therefore, the downstream stream-way transition according to the upstream conditions is forecasted by group method of data handling. Five main factors may affect the stream-way transition include inflow position, inflow angle, slope, flow discharge, and sand content of suspended sediment....
In view of the deficiency of the traditional methods, a BP neural network model is proposed to evaluate water quality. The proposed model was applied to evaluate the water quality of 20 sections in Suzhou river. The evaluation result was compared with that of the RBF neural network method and the reported results in Suzhou river. It indicated that the performance of proposed neural network model is...
Intelligent Display Unit integrates metro data recording and train system management, and running software that can generate the graphics based on analyze of incoming onboard equipment data.The art of state of onboard intelligent display unit for metro train is introduced. The train communication network based on the intelligent display unit is described. The hardware and software of the intelligent...
With the development and widely used of Internet and information technology, the Web has become one of the most important means to obtain information for people. According to the Web document classification and the theory of artificial neural network, a Web classification mining method based on wavelet neural network is presented in this paper. Moreover, we adopt a algorithm of reduce the number of...
Training a support vector machine (SVM) on a large-scale sample set is a challenging problem. This paper proposes a sample reduction strategy to pretreat training samples which is realized by a two step procedure: instance reduction and attribute reduction, and the classification model of the SVM is also offered. The experimental results show that the proposed reduction algorithm can effectively remove...
Taking M2, the broad money supply, as the index of the level of liquidity and M2/GDP as the index of the surplus of liquidity, the paper examines systematically the long-term and dynamic relationship among the price, the level of liquidity and the surplus of liquidity. The results suggest that it is the surplus of liquidity instead of the level of liquidity that influences the fuel oil future. The...
The level of liquidity is a very important factor concerning the smooth operation of the futures market. The paper has taken M2, the broad money supply, as the index of the level of liquidity, and used the data of natural rubber futures, examined the long-term and dynamic relationship between the trading volume of rubber futures and the broad money supply. The result shows that the long-run equilibrium...
In view of the problem that it is difficult to predict the output in an oilfield which affected by multiple variables, a back propagation (BP) neural network model is built to predict the output in oilfield because the classic statistical method and static model cannot meet the demand of precision for the nonlinear and uncertain system. Effective depth, permeability, porosity and water content are...
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