Hi Milan, Your proposal sounds like a "nice" idea, but wouldn't it be better to generalize your ANN library into a generic maximum likelihood estimation library - because at the end of the day that is what an ANN is, nothing more nothing less it would also provide the users of the library access to other estimation/modeling paradigms, which is a good thing. Arash Partow __________________________________________________ Be one who knows what they don't know, Instead of being one who knows not what they don't know, Thinking they know everything about all things. http://www.partow.net Milan Rusev wrote:
Hello,
I'm an AI student and I'd like to participate in this year's SoC with an Artificial Neural Networks library. The library will consist of basic elements of a NN: neurons, layers, teaching algorithms, neuron functions (plus common usages: linear, sigmoid, gaussian, winner-takes-all). It will also include the implementation of some popular NNs: Multilayer Perceptron, Hopfield Network, Kohonen Network. I know it's a bit of a high level library, and I'd like some feedback whether it's appropriate for Boost.
I also have a question. The proposal on the GSoC 2008 page for the implementation of Fixed Decimal also sounds appealing to me. So should I choose one project and apply for it or should I apply for both of them separately?
Milan