An Integrated Data Preparation Scheme for Neural Network Data Analysis
IEEE Transactions on Knowledge and Data Engineering
A classification technique based on radial basis function neural networks
Advances in Engineering Software
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This paper focuses on solving the problems of preparing and normalizing data that are captured from a "Play Attention" system, and are linked with significant relevant properties. We adapt these data using a Bayesian model that creates normalization conditions to a well fitted artificial neural network. We separate the method in two stages: first implementing the data variable in a functional multi-factorial normalization analysis using a normalizing constant and then using constructed vectors containing normalization values in the learning and testing stages of the selected learning vector quantifier neural network.