How to optimize neural networks for over-dispersed target data?
4 views (last 30 days)
Show older comments
I am training a feedforwardnet that ought to predict accident rates from traffic and road characteristics of a large number of road segments. The target data is highly over-dispersed (a lot of zeros, where no accidents occurred over the observed period). I guess that this might be one problem. Does anyone have experience in optimizing network parameters such as training algorithm, number of neurons, even net type? A couple of pointers would be much appreciated.
0 Comments
Accepted Answer
Greg Heath
on 19 Mar 2015
Use a radial basis function net
help newrb
doc newrb
Also consider newrbe , newgrnn, newpnn, etc
0 Comments
More Answers (0)
See Also
Categories
Find more on Define Shallow Neural Network Architectures in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!