RBF NN using newrb for prediction one target "output vector" from many inputs factors " 15 vectors"
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Abdussalam
on 8 Jan 2015
Commented: srikanth allamsetty
on 23 Aug 2016
I am working in a research for forecasting electricity price. I am using a RBF network "newrb" for predicting electricity price . the network has 15 inputs (different factors) and one output(electricity price). i am asking how to do that using newrb for different Input & Output matrices ( 15 input predictors for one Output).
net = newrb(P,T,goal,spread,MN,DF).
P: R-by-Q matrix of Q input vectors.
T: S-by-Q matrix of Q target class vectors.
in my case P matrix ≠ T matrix
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srikanth allamsetty
on 23 Aug 2016
Hi, I am also working on a similar kind of problem but in a different area, with 5 input parameters and one output, which need to be predicted. Did you find any way to solve your problem using RBF? if so please provide me some information. Thank you in advance.
Accepted Answer
Greg Heath
on 10 Jan 2015
Search the NEWSGROUP and ANSWERS using
greg newrb
Concentrate on the ones used for classification and pattern-recognition.
Hope this helps.
Thank you for formally accepting my answer
Greg
2 Comments
Greg Heath
on 13 Jan 2015
newrb works just as well for regression.
The biggest problems with newrb are
1. You cannot assign an initial configuration
2. It does not have the flexibility of newfit or patternnet.
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