Modeling of the exhaust box assembly workshop using neural networks

T. El-Fouly, A. Shtay, G. Aly
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Abstract

The paper investigates the use of artificial neural networks in modeling and control of manufacturing systems. This approach models the various elements of a manufacturing system by the form of neural networks. The modeling approximates discrete systems by continuous models. The suggested model is applied to the approximation of a manufacturing system, the approximated model is then simulated and trained to control the machines to achieve some desired targets. The system presented in this paper is the subset exit beam of the back silencer. The system is simulated at the end with and without training of the neural network.
利用神经网络对排气箱装配车间进行建模
本文研究了人工神经网络在制造系统建模和控制中的应用。这种方法通过神经网络的形式对制造系统的各种元素进行建模。该模型通过连续模型逼近离散系统。将提出的模型应用于制造系统的近似,然后对近似模型进行仿真和训练,以控制机器达到某些期望的目标。本文提出的系统是后置消声器的子集出口光束。最后对该系统进行了有神经网络训练和无神经网络训练的仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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