I\'m starting neural networks, currently following mostly D. Kriesel\'s tutorial. Right off the beginning it introduces at least three (different?) learning rules (Hebbian, delta rule, backpropagation
I\'m quite new with this topic so any help would be great. What I need is to optimize a neural network in MATLAB by using GA. My network has [2x98] input and [1x98] target, I\'ve tried consul开发者_St
As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references,or expertise, but this question will likely solicit debat开发
Would someone be able to explain to me or point me to some resources of why (or situations where) more than one hidden layer would be necessary or useful in a neu开发者_如何转开发ral network?Basically
Can anyone recommend a website or give me a brief of how backpropagation is implemented in a NN? I understand the basic concept, but I\'m unsure of how to go about writing the code.
Does anyone know how to emulate an Expert Systems using Neural Networks? An example of this is the 20q.net website.
I have an application which decides whether a human is handwaving,running or walking. The idea is i have segmented an action,say handwave,to its poses. Let\'s say
I have been trying to get a simple double XOR neural network to work and I am having problems getting backpropagation to train a really simple feed forward neural network.
I\'m trying to build an app to detect images which are advertisements from the webpages. Once I detect those I`ll not be allowing those to be displayed on the client side.
I\'m writing code for a neural network, and I\'m wondering whether I should do it or not. I\'m actually somewhat worried that even using double might not wield good results and that I might have to mi
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