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Cascade artificial neural networks

The new variant of artificial neural networks (ANN), named by cascade ANN (CANN), is proposed. Such networks are formed as a cascade connection of several artificial neural networks. This type of network is designed for information processing applying to significantly heterogeneous data. The proposed cascade ANN differs from known variants of hybrid networks by organization of training process: different training samples are used for ANN training of different cascades. These training samples are formed on a basis of results of the ANN training of a previous cascade. Possibilities of the proposed ANN type are demonstrated in the course of solving following three typical problems: classification with differently remote classes, classification with differently informative data, developing a mathematical model of an object at presence of several operation modes.