"New Neural" is an Open Source neural network engine project for the MetaTrader 5 platform. - page 77
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In principle, I figured it out. I can't do without normalization. Suppose three vectors
Х1 {10,10,0.1}
Х2 {11,10,0.3}
X3 {10,12,-0.2} It seems that all three vectors belong to the same cluster
In the training sample x1= min 0 max 20, x2= min -10 max 40 x3= min -0.5 max 0.5 Now normalize the initial vectors
Х1 {0.5, 0.2, 0.1}
Х2 {0.55, 0.2, 0.3}
X3 {0.5 , 0.24, -0.2} clusters are different, we can normalize these vectors to a unit vector, but it will be unnecessary. I think it should work.
In principle, I figured it out. Without rationing can't be done...
Basically everything is correct, you can't do without normalization, otherwise you will have to search for weights in a very large range (those to shift the issue of normalization to the shoulders of the grid). But don't forget that distribution into clusters the grid conducts not from direct proximity of input vectors, but depending on weight coefficients. The situation may arise when two vectors located near each other (by parameters) are in different clusters, and the distant ones are in the same cluster. Everything depends on the FF.
That's thinking whether to write a dll, to work with CUDA or wait, I have in addition to neuro, postponed another theme for the GPU.
Renat, how are things with OpenCL and storage integration in ME?
I'm thinking whether to write a dll to work with CUDA or wait, I have in addition to neuro, postponed another theme for the GPU.
OpenCL in beta - is being developed, the repository is also in beta already running.
In the next build next week we will please with the inclusion of Market and maybe storage in the editor.
OpenCL in beta - under development...
In the next build next week we will include Market and maybe storage in the editor.
Beta or full version ?
The market is complete.