It is possible to create a dynamic model using radial basis function in the matlab tool box?
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I want to create a net that uses radial basis function in a NARX model: inputs contain delays and feed back. Something like this http://fr.mathworks.com/help/nnet/ug/design-time-series-narx-feedback-neural-networks.html but using a radial basis function.
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Greg Heath
le 20 Nov 2014
1 vote
Unfortunately, there are no options in the NNTBX that will yield this.
Either modify MATLAB functions or find non-MATLAB code.
3 commentaires
Platon
le 21 Nov 2014
Greg Heath
le 22 Nov 2014
When I wrote that I didn't think it out because I didn't think you would seriously consider doing that rather than just use the MLP version.
You would probably have to transfer the open loop weights and transfer functions to a timeseries function.
You could try to use radbas in a time series function. However, I'm not sure what would happen.
Nevertheless, since it is fast and easy, I would try it 1st just to see what happens.
I recall using radbas in one or more newff designs. You might want to search in NEWSGROUP or comp.ai.neural-nets.
Edna Plazas García
le 12 Mar 2015
Hi Greg Heath
I've been looking at your code and it seems very good, but I have two question, the firts I have some data from a plant already taken, how do I call this code and serve this code with that data? attached a .mat with the data(are 2001 data), the first row is U and the second row is Y. the second is how do I validate data elsewhere in this simulation? as I use the function sim ?. Thanks you.
Edna Plazas García
le 11 Mar 2015
0 votes
Hi Greg Heath
I've been looking at your code and it seems very good, but I have a question, I have some data from a plant already taken, how do I call this code and serve this code with that data? attached a .txt with the data(are 2001 data), the first row is U and the second row is Y.
1 commentaire
Greg Heath
le 15 Mar 2015
Modifié(e) : Greg Heath
le 15 Mar 2015
The attachment is missing. Either try again or email it to me *.txt or *.m.
U = input, Y = target ?
[ Ys Xf Af] = net(Xs,Ts,Xi,Ai);
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