A method for forming a multi-tiered neural network forecasting system with the possibility of reconfiguration
Journal: Proceedings of Southwest State University
Year: 2025

Purpose of research. Improving the accuracy of forecasting by identifying logical connections in unstructured datasets and forming a multi-tiered structure of a specialized neural network computing system. Methods. A parallel algorithm for determining the fragmented structure of the training sample is proposed, which is used to isolate fragments containing training data based on the logical dependencies of the sample. Based on the generated fragmented sample, a method for assembling neural netwo