Classification of the Technological Process Condition Based on Hybrid Neural Networks

Abstract

The cascade architecture of neural networks, providing multichannel information processing as a part of a cyber-physical system, is presented. The architecture contains a hybrid network for aggregation of intermediate results obtained by an ensemble of deep recurrent neural networks based on fuzzy logic methods. The structure of the software which implements the presented architecture and being developed for conducting simulation experiments is described, their results are given.