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Modeling hysteresis loops of ocmposite joints using neural networks

机译:使用神经网络建模o关节的磁滞回线

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Based upon prior knowledge,several mathematicla models, for example,the Ramberg-Osgood model and the BW model,have been proposed in describing hysteresis by using the underlying physical principles of the systems that are expressed in terms of mathematical equations.Nevertheless,those physical principles governign majority of hysteretic elements are either difficult to define or the model parameters in general cannot be accurately estimated.
机译:在先前知识的基础上,已经提出了几种数学模型,例如Ramberg-Osgood模型和BW模型,这些模型通过使用以数学方程式表示的系统的基本物理原理来描述磁滞。支配大多数磁滞元件的原理要么很难定义,要么通常无法准确估计模型参数。

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