Borrar filtros
Borrar filtros

RBF Neural Network traning data limit

2 visualizaciones (últimos 30 días)
EanX el 26 de Mzo. de 2013
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.

Respuesta aceptada

Greg Heath
Greg Heath el 28 de Mzo. de 2013
Divide your data randomly into n partitions.
Train a successful net for each partition
Average the outputs to form a single net.
Thank you for formally accepting my answer
P.S. Search the terms network committee and ensemble network

Más respuestas (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by