In this article, a machine learning approach based on Bayesian Optimization is proposed that creates an optimized bit pattern to maximize the ISI, resulting in faster convergence of eye diagram analysis. Numerical results demonstrate up to 14x speedup and more accurate results compared to the conventional eye diagram analysis.
