A Hybrid Approach with Modular Neural Networks and Fuzzy Logic for Time Series Prediction

Abstract

We describe in this paper the application of several neural network architectures to the problem of simulating and predicting the dynamic behavior of complex economic time series. We use several neural network models and training algorithms to compare the results and decide at the end, which one is best for this application. We also compare the simulation… (More)

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