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Metal-cutting machine-tools: features of neuronet modeling of machine-tools

机译:金属切削机床:机床神经网络建模的特征

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摘要

The classic methods of engineering calculation and mathematical modeling that are used in designing the metal-cutting machine tools are based on sequential identification of the components of the structure as the elements of a complex system. In this approach the initial data are the equations that describe the individual elements of the system and their combinations. The prediction of the behavior of the system is based on the particular solutions of these equations. However, since in many cases the interactions of the individual parts of the model and the connections between them are not established, the modeling results may not correspond to the experimental data [1]. This non-correspondence cannot in principle be eliminated by improving the identification procedure [2]. It becomes necessary to find the missing connections - and also the significant, and not always known in advance, change of the structure of the model.
机译:设计金属切削机床时使用的经典工程计算和数学建模方法是基于顺序识别结构的组成部分作为复杂系统的元素。在这种方法中,初始数据是描述系统各个元素及其组合的方程式。系统行为的预测基于这些方程式的特定解。但是,由于在许多情况下,模型的各个部分之间的相互作用以及它们之间的连接没有建立,因此建模结果可能与实验数据不符[1]。原则上,不能通过改进识别程序来消除这种不对应[2]。必须找到丢失的连接-以及模型结构的重大变化(并非总是事先知道)。

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