In a project that I'm working on I have a decision problem and none of my attempts have given satisfying results: using domain specifik knowledge, trying to generate statistics and creating a statistical model etc etc.
I have basic knowledge about neural networks, now I want to try if tha开发者_如何学运维t approach might yield some good results. I have a lot of data so all I want is basically to set up a simple NN, train it and see what I get.
Do you know about any decent Perl modules that might use for this purpose? I've found a few but I'd hate to waste my time trying all of them.
There are several, but I'd start with AI::NeuralNet::Simple
. On CPAN, the AI namespace has a whole bunch of others, some are wrappers for C libraries, others do fancy neural net things, but this is a simple base to start with. And it is well documented, which is not the case for some of the others
Caveats: none of the NN modules is that well maintained or widely tested. This one explicitly states that it is alpha code not for production use. For a proof-of-concept, it should be fine.
I'd use AI::FANN , you can find it on CPAN as well.
精彩评论