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Building logistics cost forecasting is a complicated nonlinear problem, due to the factors that influence building logistics cost are anfratuous, so it was difficult to describe it by traditional methods. The support vector machine (SVM) has the ability of strong nonlinear function approach and strong generalization and it also has the feature of global optimization, in this paper, a modeling and...
Aimed at the complicated and nonlinear relationship between input and output property of wireless channel and the advantages of support vector machine (SVM), a method for wireless channel modeling and simulation based on regression SVM is presented in this paper. The SVM network structure for communication fading channel modeling is established. Moreover, we propose a self-adaptive parameter adjust...
Because logistics system was an uncertain, nonlinear, dynamic and complicated system, it was difficult to describe it by traditional methods. The support vector machine (SVM) has the ability of strong nonlinear function approach, it has the ability of strong generalization and it also has the feature of global optimization. In this paper, a modeling and forecasting method of urban logistics demand...
Considering the issues that the energy saving process for beam-pumping unit is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. The support vector machine (SVM) has the ability of strong nonlinear function approach, it has the ability of strong generalization and it also has the feature of global optimization. In this paper, an intelligent energy-saving...
An actual physical simulation model was constructed to simulate the course of water displacing oil Under certain physical property parameter conditions, we simulated the water injection well and the oil withdrawal well on the physical simulation model, and continuous measured online the oil and water content of different areas of physical simulation model in three-dimensional spaces using the 512...
The membrane bioreactor(MBR) is a new technology of sewage treatment combining the membrane with the bioreactor, but the membrane fouling is an important factor to limit the MBR further development. Considering the issues that the relationship between the membrane fouling and affecting factors is a complicated and nonlinear, a modeling method based on support vector machine(SVM) is presented in this...
Deep lava maybe contain petroleum and natural gas or CO2 gas. It is very important to find lava but the lava is in deep stratum and has complex structure and less sample data, so it is difficult to find lava stratum. There were some methods to predict where the lava is but some problem also was in them such as the precision of recognition and predicting was not high limited by the small number of...
The flocculating process of sewage treatment is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. The support vector machine (SVM) has the ability of strong nonlinear function approach, it has the ability of strong generalization and it also has the feature of global optimization. Here, a intelligent optimized control system based on regression...
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