Analysis of a hybrid neural network as underlying mechanism for a situation prediction engine

Carlos Oberdan Rolim, Anubis G.M. Rossetto, Valderi R.Q. Leithardt, Claudio F.R. Geyer

Abstract


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.


Full Text: PDF



ISSN: 2236-8434 - Best viewed in Mozilla Firefox

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License. [updated on August 2016]

São Leopoldo, RS. Av. Unisinos, 950. Bairro Cristo Rei, CEP: 93.022-750. Atendimento Unisinos +55 (51) 3591 1122

Designed by Jully Rodrigues

In 2014, vol. 4, issue 2 was not published. No issues were published in 2015.




Crossref Member Badge Crossref Similarity Check logo