使用人工神经网络进行模拟和混合模式行为模拟的电子建模

V. Litovski, M. Andrejević
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引用次数: 5

摘要

本文介绍了人工神经网络(ANN)在动态非线性电子电路建模中的应用现状和一些初步结果。利用人工神经网络将黑盒建模概念应用于时域。考虑了人工神经网络的拓扑结构、用于激励的测试信号以及人工神经网络的复杂度。给出了介子线性动态建模的例子,包括各种各样的建模问题。概念的验证是通过验证模型的泛化能力来执行的,即对训练期间未使用的激励产生可接受的响应。在行为模拟器中实现这些模型的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electronic modelling using ANNs for analogue and mixed-mode behavioural simulation
We describe the state of the art and some preliminary results obtained by application of artificial neural networks (ANN) to modelling of dynamic non-linear electronic circuits. ANNs are used for application of the black-box modelling concept in the time domain. The ANN's topology, the testing signal used for excitation, together with the complexity of the ANN is considered. Examples of Pion-linear dynamic modelling are given encompassing a wide variety of modelling problems. Verification of the concept is performed by verifying the ability of the model to generalize i.e. to create acceptable responses to excitations not used during training. Implementation of these models within a behavioural simulator is exemplified.
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