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In order to explore the inherent law of serious collisions and provide a reference to determine the result of accidents, this paper proposed a new model of vessel collision analysis and prediction based on data mining. After collecting complete vessel collision accidents reports, indexes of the severity of vessel collision were extracted and quantified. By using the method of factor analysis, the...
On the basis of analyzing disadvantages of conventional prediction model of air-and-screen cleaning device, a new regression model based on support vector machine was proposed to predict and control of cleaning process precisely. Parameters of ε-SVR models were determined utilizing non-heuristic Grid Search, heuristic GA and PSO which could avoid the choice of randomness. The effect of samples in...
Reducing power consumption has become a priority in microprocessor design as more devices become mobile and as the density and speed of components lead to power dissipation issues. Power allocation strategies for individual components within a chip are being researched to determine optimal configurations to balance power and performance. Modelling and estimation tools are necessary in order to understand...
Evolutionary algorithms for selecting support vector machine (SVM) parameter values which are based on genetic algorithm and particle swarm optimization algorithm are researched in this paper, these algorithms have been successfully applied to the real underwater echo target recognition. Experimental comparison and analysis show that the evolutionary algorithms can identify optimal or near optimal...
This article aims to discuss the application of computational intelligence (CI) techniques in combination "with classical concepts in physics in devising investment strategies. In the analysis of investment strategies, many CI techniques are employed to predict market trends, such as the neural network (NN), the support vector machine (SVM), and particle swarm optimization (PSO) techniques. Other...
In order to analyze the property of the blended coal in the power plants boiler operation, the author structure a new kind of hybrid model for blended coal based on Genetic Algorithm (GA) and support vector machine (SVM).The results of testing 20 blended coals in power plant show that the proposed model is practical and feasible. The model can achieve higher classification accuracy.
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