Abstract
Paper presents a modular approach for time series analysis 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. Also we present few examples of modular approaches which can be applied for time series analysis problem.
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