Identification of Simultaneous Soft Faults in Analog Circuits Using a Hybrid PSO-Machine Learning Approach

This study demonstrates that an iterative process combining ML and EA techniques enables accurate fault prediction in electronic circuits and can enhance the performance of classification problems that are traditionally addressed using either ML or EA in isolation.