Regularization Methods for Neural Network Models and Logistic Regression Models in the Problem of Classifying Industrial Products into Homogeneous Batches

摘要

In this paper the problem of automatic grouping of semiconductor devices by homogeneous production batches is investigated. Algorithms for training logistic regression and an artificial neural network with regularization in the problems of classification of industrial products into homogeneous production batches are proposed.