One of the most actual tasks of information processing today is the problem of separating a mixture of several sources of signals. Moreover, the solution requires the on-line processing mode. With this task successfully cope artificial neural networks (ANN). But for stable operation of the system, the ANN require training on specific algorithms. This article discusses a modification one of ANN-training geometric algorithms - histGEO.