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BP神经网络在测力轮对横垂向桥解耦中的应用研究

Application study on BP neural network applied to calculate about a instrumented wheelset with horizontal and vertical bridge combination
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摘要 BP网络是应用最广泛的网络之一,现已成功地应用于图像识别、预测预估、语音变换、数据压缩、模式辨识和自动控制等领域。本文应用BP网络的计算原理,研究了BP网络在测力轮对横垂向桥解耦中的应用,同时利用测力轮对模型仿真计算的数据,进行了BP网络的训练与测试。 Back Propagation neural network is one of the widest application neural networks,Now it has been successfully applied to the domains of image recognition、prediction、sound exchange、data compression、pattern recognition and automation control.In the paper,A method based on Back Propagation algorithm is studied to calculate about a instrumented wheelset with horizontal and vertical bridge combination,Also Back Propagation neural network training and prediction are made with the simulated computation data of instrumented wheelset model.
出处 《中国测试技术》 2003年第5期17-19,共3页 CHINA MEASUREMENT & TESTING TECHNOLOGY
关键词 测力轮对 横垂向桥解耦 神经网络 BP算法 轮轨作用力 neural network Back Propagation Algorithm instrumented wheelset
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