基于BP网络的液力变矩器性能分析  

The Torque Converter's Performance Analysis Based on BP Artificial Neural Networks

作　　者：田国富[1] 冷国强 闫维佳 张大卫[1] 陈宝庆[2] 

机构地区：[1]天津大学机械工程学院,天津300072 [2]天津工程机械研究院,天津300131

出　　处：《组合机床与自动化加工技术》2006年第8期21-24,共4页Modular Machine Tool & Automatic Manufacturing Technique

基　　金：国家863计划项目(2003AA430030)

摘　　要：针对液力变矩器性能试验中的数据处理和分析需要,提出了应用BP神经网络进行试验数据辅助分析,以提高计算速度和编程处理能力,减少人为参与次数,实现数据分析处理的自动化。通过对具体数据、图表的实际应用表明,此种方法能够很好地表达原数据关系,数据的识别精度更高,能够满足实际试验测试的要求。Aim at the need of data processing and analysis on the torque converter＇s performance experiment, this paper put forward applying BP artificial neural network to help analyze the test data to improve computing speed and programming handling capability. It can decrease artificial involving times and realize the data a- nalysis processing automation. The application of real data and chart show that it can express these data correctly, the identification accuracy is higher than other method .It can suffice the calculating requirement with high precision in test.

关 键 词：液力变矩器 性能分析 人工神经网络 

分 类 号：TH132[机械工程—机械制造及自动化]