【摘要】 研究应用径向基函数(RBF)神经网络对船用污水处理装置进行状态诊断,以提高船用污水处理装置状态诊断正确率。在分析了RBF神经网络基本结构和原理的基础上,设计一种诊断船用污水处理装置状态的三层RBF神经网络。通过采用实际监测的数据实现RBF神经网络诊断处理,结果表明:RBF神经网络的分类诊断效果较佳,能够有效地对船用污水处理装置状态进行诊断。更多还原

【Abstract】 A state diagnosis method of ship sewage treatment equipment adopting radial-basis function(RBF)neural network is introduced to improve the state diagnosis correctness.Based on the analysis on the structure and fundamental principle of RBF neural network,a three-layer RBF neural network is designed to diagnose the state of ship sewage treatment equipment.RBF neural network diagnosis is realized utilizing the practical monitoring data from a ship.It is proved by diagnosis results that RBF neural network has good effect of classification which can be used to diagnose state of ship sewage treatment equipment effectively.更多还原