计算机工程与应用2012，Vol.48Issue(21)：235-239,5.DOI:10.3778/j.issn.1002-8331.2012.21.052
基于神经网络的机械加工工序能耗预测
Energy consumption prediction in machining procedure based on neural network
摘要
Abstract
To solve the problem that the energy consumption result of machining procedure can not be calculated accurately by mathematical method, the estimation method of energy consumption in machining procedure layer based on neural network is presented. The choice and unitary of input variables and output variables are illustrated. The node number of latent layer and transfer function are selected. The combination of cutting parameter and the corresponding history data of energy consumption are served as training data set, and the nonlinear mapping relation of the combination of cutting parameter with corresponding energy consumption is set up. Thus, energy consumption of the new combination of cutting parameter is estimated. The effectiveness of the prediction method is verified by the example of rough machining procedure of a guide blade in an enterprise.关键词
能耗预测/机械加工工序/神经网络Key words
energy consumption prediction/ machining procedure/ neural network分类
机械制造引用本文复制引用
宫运启..基于神经网络的机械加工工序能耗预测[J].计算机工程与应用,2012,48(21):235-239,5.基金项目
哈尔滨商业大学博士科研启动基金资助. （）
