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Black box modelling of a structure unknown high efficiency boiler applying neural networks with locally distributed dynamics

机译:结构未知高效锅炉的黑匣子建模应用神经网络与局部分布式动态

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摘要

The paper considers the application of neural networks with distributed dynamics to the identification of nonlinear systems. The main intention is to provide a simulation tool for the design of control systems to the development engineer. The identification of the thermal plant is accomplished without any a priori knowledge about the nonlinear structure or the dynamics of the plant. Identification results of two different neural nets are shown and compared.
机译:本文考虑了神经网络与分布式动力学的应用于非线性系统的识别。主要目的是为开发工程师设计控制系统的仿真工具。在没有任何关于非线性结构的先验知识或植物的动态的情况下没有任何先验的知识来完成热植物的识别。显示并比较了两种不同的神经网络的识别结果。

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