On the Performance Analysis of a Logistic regression based transient signal classifier

Logistic Regression 방법을 이용한 천이 신호 식별 알고리즘 및 성능 분석

In this paper, a transient signal classification system using logistic regression and neural networks is presented, where four neural networks such as MLP, MLP-Class, RBF and LVQ are utilized to classify given transient signals, based on the logistic regression method. Also, some test results with experimental transient signal data are provided.