ARTIFICIAL NEURAL NETWORK APPLICATION FOR MAGNETIC CORE WIDTH PREDICTION AND MODELING FOR MAGNETIC DISK DRIVE MANUFACTURE

摘要

A method for predicting and optimizing magnetic core width of a write head using neural networks to analyze manufacturing parameters, and determining new manufacturing parameters that will provide more optimal magnetic core width results. The manufacturing parameters can include: write pole flare point; wrap around shield dimension; and side gap dimension.