Evaluation system based on EFuNN for on-line training evaluation in virtual reality

Authors:
Ronei Marcos de Moraes;Liliane dos Santos Machado
Affiliations:
Department of Statistics, UFPB – Federal University of Paraíba, João Pessoa, PB, Brazil;Department of Computer Sciences, UFPB – Federal University of Paraíba, João Pessoa, PB, Brazil
Venue:
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2005

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Abstract

In this work is proposed a new approach based on Evolving Fuzzy Neural Networks (EFuNNs) to on-line evaluation of training in virtual reality worlds. EFuNNs are dynamic connectionist feed forward networks with five layers of neurons and they are adaptive rule-based systems. Results of the technique application are provided and compared with another evaluation system based on a backpropagation trained multilayer perceptron neural network.