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Ryerson University
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What wavelet basis to choose?-more specifically-
Hi everyone, I know you may have heard this question several times and the answer always is " it depends on the characterist...
fast 10 Jahre vor | 1 Antwort | 0
1
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The use of wavelet transform in modelling a time series
Hi everyone, I have been working on modelling a time series using wavelets for a long time. I am quite familiar with the wav...
fast 10 Jahre vor | 0 Antworten | 0
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I need a starting point for choosing "spread" when using newrb()
My data sets consist of 62 inputs and one output and I want to do function approximation. I understand that the optimum "spread...
fast 10 Jahre vor | 1 Antwort | 0
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How to use Automatic Relevance Determination (ARD) to determine the window-size in time series forecasting
Hello, I want to do a one step ahead prediction with my time series using neural networks. I have read some where that using ...
etwa 10 Jahre vor | 1 Antwort | 0
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when using genetic algorithm, the number of variables(nvar) is dependant on the row vector(x) that my fitness function accepts. How can I deal with that?
Hello all, I need to write something like this: ga(h, sum(x(1:5)),[],[],[],[],LB,UB,[],[],ga_opts); as you see, the numbe...
mehr als 10 Jahre vor | 2 Antworten | 0