In this paper, a lightweight optimization method for complex analog integrated circuits (ICs) is proposed based on convolution neural network (CNN)-multilayer perceptron (MLP) and particle swarm optimization (PSO) algorithm. According to the circuit structure and the proposed design specifications, the circuit is divided into several sub-module circuits. Then, the sub-module and overall dataset are constructed.
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