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System and method for circuit simulation based on recurrent neural networks

机译:基于递归神经网络的电路仿真系统和方法

摘要

According to one embodiment of the present invention a circuit simulator configured to simulate a degraded output of a circuit including a plurality of transistors includes: a behavioral recurrent neural network configured to receive an input waveform and to compute a circuit output waveform; a feature engine configured to model one or more degraded circuit elements in accordance with an aging time, to receive the circuit output waveform and to output a plurality of degraded features; and a physics recurrent neural network configured to receive the plurality of degraded features from the feature engine and to simulate the degraded output of the circuit.
机译:根据本发明的一个实施例,一种电路仿真器,被配置为模拟包括多个晶体管的电路的降级输出,包括:行为递归神经网络,其被配置为接收输入波形并计算电路输出波形;以及特征引擎,被配置为根据老化时间对一个或多个退化的电路元件建模,以接收电路输出波形并输出多个退化的特征;物理递归神经网络,其配置为从特征引擎接收多个降级特征并模拟电路的降级输出。

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