Evaluation of Electrostatic Safety Based on Support Vector Machines Optimized by Genetic Algorithm in Industry

摘要：

Electrostatic ignition is one of primary causes fire and detonation in industry, so it is important to control and he reducing electrostatic fire that appraising electrostatic safety of industry concerning the influence factors of electrostatic fire. In view of complexity of industry environment and multiplicity of the influence factors electrostatic safety, support vector machines is used to establish the evaluation model of electrostatic safety. For support vector machines has excellent performance in generalization and optimization. The auto-adaptive genetic algorithm that is improved by Auto-adaptive crossover and mutation probability is used to optimize support vector machines parameters. The superiority and the feasibility are proved through the simulation.

关键词： electrostatic safety support vector machines genetic algorithm industry

作者: WANG Hairong JIANG Huiling WANG Yun YANG Weiguo

作者单位: Department of fire Engineering,The Chinese People Armed Police Force Academy,Langfang 065000,Hebei,China

会议类型: 国际会议

会议名称: The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)

会议地点: 北京

会议语种:英文

页码: 294-299

在线出版日期: 2008-09-24（万方平台首次上网日期，不代表论文的发表时间）