I'm new to RBF Neural Networks and I'm facing the following issue: in designing a rbf nn for forecasting a variable dependent by two inputs variables , if the traning data set excede 4000 samples, at least using Matlab newrbe function, I'm not able to get a result as Matlab stop responding and also hangs my computer (cpu utilization reaches 90% and memory utilization almost fill all available ram). I wonder if this is a limitation of RBF NN or a problem to Matlab implementation of RBF NN or …………probably I have committed a design error. Thanks.
MATLAB: RBF Neural Network traning data limit
Deep Learning Toolboxforecastingforecasting nnrbfrbf nntraning limittraning nn
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