newlind() network and adapt() training function
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Is it possible to add another layer of neurons in newlind()? I'm using adapt() function for training the time series problem without any delay.
If its not possible to add! What other network i can use? Feedforward is throwing error as
--Error using + Matrix dimensions must agree.
Error in nn7.grad2 (line 95) gA{i} = gA{i} + LWderivP' * gLWZ{k,i};
6 个评论
Greg Heath
2018-1-10
Why aren't you using one of the timeseries functions???
timedelaynet, narnet and narxnet
In addition to searching ANSWERS and the NEWSGROUP, you can check out the documentation. For example
help narxnet
doc narxnet
Hope this helps.
Thank you for formally accepting my answer
Greg
Pkm
2018-1-10
Greg Heath
2018-1-11
If there is no delay, use FITNET.
Pkm
2018-1-11
Greg Heath
2018-1-12
Why are you using adapt? The BEST approach is to FIRST try to use as many DEFAULTS as possible. After all, a group of expert developers carefully chose those values for good reasons.
Hope this helps.
Greg
Pkm
2018-1-15
回答（1 个）
Greg Heath
2018-1-11
0 个投票
Use the fitnet defaults.
adapt is not a default.
Greg
2 个评论
Pkm
2018-1-11
Greg Heath
2018-1-15
Yes you can:
By using dimensionality reduction. Do you think that all 960 variables are independent of the others?
The most common technique is PRINCIPAL COMPONENT ANALYSIS (PCA) which uses a smaller number of principal components that are linear combinations of the original inputs.
Another technique is PARTIAL LEAST SQUARES (PLS)which is used infrequently because it is less known ... presumably because it involves transforming both outputs and inputs.
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2018-1-15
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