Abstract
This paper presents the biologically inspired approach to time series forecasting area. We consider the most important characteristics of modular architectures of neural networks and their advantages under traditional monolithic neural networks. The main idea of this paper is take answer - why modular neural networks have so high performance in many tasks. In addition, we present few examples of modular approaches, which can be applicable for time series forecasting problem. Also we presenting forecasting system which now developing.
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