I am a student and doing my dissertation (DoS attacks in Wi-Fi) work. Could anyone please suggest as how to use different training algorithms other than Back-propagation (like Scaled conjugate gradient / Quasi-Newton ) in Neuroph?
For my project I need to train the network with different training algorithms (other than those which are already provided in Neuroph). Is it possible to train the network with Scaled-Conjugate-Gradient Algo in Neuroph? If yes, then how?
Yes it possible, but its still not implemented. However it shoul dnot be hard to do, my guess is you'll have to extend and modify original Backpropagation class. That would be great contribution to Neuroph. Let me know if you decide to implement it I'll provide more help.
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