Application of Artificial Intelligence in Operational Amplifier Design
The application of artificial intelligence in integrated operational amplifier design has been extensively investigated in the recent years.Herein,the background,basic principles,and progress made in operational amplifier design using neural networks are elucidated.Furthermore,this study demonstrates that combining deep Q-networks and particle swarm optimization,integrating multi-objective genetic algorithm and SPICE optimization,and utilizing Bayesian optimization and other artificial intelligence methods can enhance both the performance and design efficiency of operational amplifiers.In addition,the development of chip design trends based on artificial intelligence is discussed.This study provides analog integrated circuit designers with a reference for circuit design based on artificial intelligence.
万方数据
维普
