NEURAL NETWORKS IN THE MANAGEMENT OF COMPLEX TECHNICAL SYSTEMS

R. L. Panteev
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Abstract

The methods of application of neural networks for solving the problems of control of dynamic objects are considered. For each type of neural control, the circuits for connecting the neural networks within the control system are presented and the procedures for their training are described in detail. The advantages and disadvantages of the described methods are analyzed.
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神经网络在复杂技术系统管理中的应用
考虑了应用神经网络解决动态对象控制问题的方法。对于每种类型的神经控制,给出了控制系统中连接神经网络的电路,并详细描述了它们的训练过程。分析了所描述的方法的优点和缺点。
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