Analysis of a hybrid neural network as underlying mechanism for a situation prediction engine
Carlos Oberdan Rolim, Anubis G.M. Rossetto, Valderi Reis Quietinho Leithardt, Cláudio F. R. Geyer · Journal of Applied Computing Research · 2012
This paper presents the results regarding a technique that can be used as an underlying mechanism for situation prediction. We analysed a hybrid neural network called Multi-output Adaptive Neural Fuzzy Inference System (MANFIS) and compared its predictive ability with a Multi-Layer Perceptron (MLP). The results demonstrate that, depending on the application, the use of neural networks can be considered to be a good approach for situation prediction, when combined with other techniques.Key words: situation, context, prediction, neural networks, MANFIS.