"New Neural" is an Open Source neural network engine project for the MetaTrader 5 platform. - page 54
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Come on, what's closer to you?
Closer Echo, Easier SOM. SOM is probably better, since it can be done with or without a teacher.
SOM is like that.
1. initialize the grid
2. work the grid
3. teach the grid
Who does what?
Or should we first work out the class hierarchy?
I was thinking about how to screw it in so that during training new neurons would be born in the right places, but after studying the algorithms I came to the conclusion that they will not have a common formalization, almost no points of intersection. That is why I refused, concentrating on the vertical construction of the network. Type:
data --> neuron --> encapsulated neural network --> container neural network
You can make GAs amorphous. The human genome didn't always consist of 28,000 genes.
Ouch...
First estimates
Oh, you're online. Answer about topology.
First estimates
This is an "oops".
This is the next step and is not directly related to the engine, its implementation is through an external GA that creates different topologies, those initialize objects of different engines.
And yes, you should probably use several GAs. One for topology and one for adjusting all weights of all networks. Then the second GA would just freeze some of the genes depending on the current topology.
Throw in some comments.