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To analyze and predict the flight safety situation scientifically, a flight accident prediction model, based on least squares support vector machine (LS-SVM), is proposed. Simultaneously, three steps grid search method is introduced into the flight accident modeling to select efficiently the parameters of LS-SVM. The simulation results of modeling and predicting on flight accident 100000-hour-rate...
A method for fatalness evaluation of flight safety hidden danger, based on support vector machine (SVM), is proposed. And the corresponding model, which makes the basic evaluation factors of flight safety hidden danger fatalness as input node and evaluation results as output node, is established. Then the safety situation of a regiment of China Air Force is evaluated. The application result shows...
An automatic selection method for Support Vector Machine (SVM) parameters using niches genetic algorithm in determined range is proposed. Firstly, the limit range of each parameter is determined by analyzing relation between SVM parameters and model capability. Then regard the determined range as search region and use the niches genetic algorithm to automatically search the optimal parameter values...
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