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)

Theory of fuzzy integrals and its application, Doctoral Thesis, Tokyo Institute of Technology, Japan

M. Sugeno

1974

Highly Influential

5 Excerpts

Reconocimiento de Huellas Digitales Utilizando Redes Neuronales Modulares y Algoritmos Geneticos. Thesis of Computer Science, Tijuana Institute of Technology, Mexico

Automated Mathematical Modelling for Financial Time Series Prediction Combining Fuzzy Logic and Fractal Theory”, Edited Book “Soft Computing for Financial Engineering

O. Castillo, P. Melin

1999

1 Excerpt

Combining Artificial Neural Nets: Ensemble and Modular Multi-Nets Systems, Ed

A. Sharkey

1999

Criteria Aggregations Functions Using Fuzzy Measures and the Choquet Integral