摘要
通过探究危化品货物在途安全状态的影响因素,确定了危化品货物在途安全状态识别的输入量,并制订了模糊识别规则,从而实现了危化品货物在途安全状态的辨识,采用神经网络进行验证,表明该方法能有效地对危化品货物在途安全状态进行分类,具有良好的实用性。
The hazardous chemicals safety state identification in transit is done through determining its affecting factors to the safety conditions.Neural Network method is used for verification,and results show that this method can effectively classify the safety states of hazardous chemicals in transit and it can be used practically.
出处
《交通信息与安全》
2013年第6期136-139,共4页
Journal of Transport Information and Safety
基金
广东省产学研结合项目(批准号:2011A90200013)资助
关键词
危化品
模糊识别
神经网络
hazardous chemicals
fuzzy identification
neural network
