Forward Propagation Algorithm Neural Networks Basic version 1.1 After learning, can be used for solving other problems......... Neural networks are used for AI and pattern learning (voice/handwriting recognition) for more info about neural networks go to <a href="http://neurondotnet.freehostia.com/tutorial/index.html">http://neurondotnet.freehostia.com/tutorial/index.html</a> for info about the basis for this code, go to <a href="http://fbim.fh-regensburg.de/">http://fbim.fh-regensburg.de/</a>~saj39122/jfroehl/diplom/e-13-text.html --------------------------------------------------------- Instructions --------------------------------------------------------- So, this may seem really confusing but after reading up on this for only a day, I don't think it's that bad... there are a bunch of variables that you can change- learning rate - lower rate = higher accuracy, more passes in_#1.#2 - the learning rules #1 is which cycle it corresponds to #2 is which neuron it corresponds to target_# - the desired output to teach with # is the cycle it corresponds to other variables are determined by different functions such as errors and out, w#-# are weights that start out random and are what determine the correctness of the function Now for what you can actually do - set 2 input variables for each cycle and set the target you want to get out for that cycle then click learn once it's done learning, you can apply whatever logic it learned to any 2 inputs by changing the values of in_1.1 and in_1.2 then clicking APPLY hope it helps - leave it below!
