A Modified Fixed-Increment Training Algorithm

There are several available algorithms suitable for training a linear pattern classifier. Fixed-increment algorithms are commonly used because they are easily coded for computer applications. This correspondence presents a modified fixed-increment algorithm that expedites classifier training and yet mantains the basic structure of the traditional fixed-increment algorithm. In applications with medical data, use of the new algorithm has resulted in a savings of approximately 35 percent im classifier-training time.