Decision-based neural networks with signal/image classification applications
IEEE Transactions on Neural Networks
Fuzzy Evolutionary Probabilistic Neural Networks
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
An incremental probabilistic neural network for regression and reinforcement learning tasks
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
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A classifier with the optimum decision, Baysian classifier could be implemented with Probabilistic Neural Networks (PNNs). The authors presented a new competitive learning algorithm for training such a network when all classes are completely separated. This paper generalizes our previous work to the case of overlapping categories. In our new perspective, the network is, in fact, made blind with respect thoe overlapping training samples using fuzzy concepts, so the new training algorithm is called Fuzzy PNN (or FPNN). The usefulness of FPNN has been proved by some classification problems. The simulation results highlight the merit of the proposed method.