An optimal statistical perceptron algorithm is derived using the Bayes clas
sification theory. The described algorithm is able to construct an optimal
classification hyperplane for separable and nonseparable classes. The descr
ibed algorithm can be easily improved by imposing a simple fuzzyfication sc
heme of the training sets.