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Time Study of Automatic Edgebanding Machine Using BP Artificial Network

机译:基于BP人工网络的自动封边机时间研究。

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The edgebanding time is measured in one furniture factory made for wardrobe in Guangdong province,the BP network model has been built between operation time and length of gluing edge,cross edge,thickness of edgeband,then the data is calculated,trained and simulated by BP network tool box of Matlab R2009b.The result shows that BP network is a good method to build the correlation between factors and operation time,and the simulation accuracy is high by training of detailed data,MSE(Mean Squared Error) fulfills the target error of 0.001 when the net training get 1470 cycles,and the maximum error of output is less than 0.3 second,the relative error was less than 5%,the actual requirement of practice can be fulfilled.
机译:在广东省一家为衣柜生产的家具厂中测量封边时间,在操作时间与涂胶长度,交叉边缘,封边厚度之间建立了BP网络模型,然后用BP计算,训练和模拟数据Matlab R2009b网络工具箱。结果表明,BP网络是建立因素与运行时间之间相关性的一种很好的方法,通过对详细数据的训练,仿真精度较高,均方根误差(MSE)满足了目标误差。净训练达到1470个周期时为0.001,最大输出误差小于0.3秒,相对误差小于5%,可以满足实践的实际要求。

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