Neural Networks for TradeStation
The first thing I tried when I begun to program Neurogenesis around a year ago was to use Scala’s specialized construct which would have allowed the user to easily switch between Float and Double precisions. However, I did eventually run into some problems (which might have had something to do with my inexperience in using the Eclipse scala ide and the need to semi-regularly ‘clean’ your project) and decided to use only Double precision (perhaps an overkill in most situations).
After that there have been several heureka moments when I have realized the need for the use of more generic classes and I have had to do more than little extra work to implement those ideas given the existing code base. Most recently I realized it might be nice to allow the user to choose between several types of NeuralConnections to facilitate experimentation. Thus I’m currently in a process of refactoring the program to use a trait NeuralConnections[T] which should make it possible to use for example my idea of making previously learned structure more rigid after each sequential step of complexification.
I can’t guarantee it will be worth the effort but there’s a chance it might as I’m not aware that anyone has tried the idea before (though I wouldn’t be very surprised if someone has as there has certainly been more than little work done in the field of neuroevolution long before I got interested in it).
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