Apr 2026· Portuguese Conference on Artificial Intelligence· pp. 181-187· 10 citations· 21 references
Computer Science
TL;DR
Preliminary results on IRIS standard data set give evidence that this extension of JASTAP model allows the use of smaller neural networks that can handle noisier data without any degradation in classification accuracy.
Abstract
This paper presents an application of the biologically realistic JASTAP neural network model to classification tasks. The JASTAP neural network model is presented as an alternative to the basic multi-layer perceptron model. An evolutionary procedure previously applied to the simultaneous solution of feature selection and neural network training on standard multi-layer perceptrons is extended with JASTAP model. Preliminary results on IRIS standard data set give evidence that this extension allows the use of smaller neural networks that can handle noisier data without any degradation in classification accuracy
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