Analysis of a Hybrid Neural Network as a Basis for a Situation Prediction Mechanism

• Carlos O. Rolim UFRGS
• Anubis Rossetto UFRGS
• Valderi R. Q. Leithardt UFRGS
• Cláudio F. R. Geyer UFRGS

Abstract

This paper presents the results towards a technique that can be used as an underlying mechanism for situational prediction. We analyzed a hybrid neural network called Multioutput Adaptive Neural Fuzzy Inference System (MANFIS) and its predictive ability was compared with a Multi Layer Perceptron (MLP). The results demonstrate that depending of application the use of neural networks can be considered a good approach for the situational prediction when combined with other techniques.

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