hi...
i'm a new user in neural network.i'm doing my final year project using backpropagation neural network.i'm been given 100 learning input with each input contain 36 parameter(number).how can i start programming it.hope anyone can give me web or reading material so that i can read it and understand it from A-Z.some easy example and source code could also help.
thanks in advance...
"max " <bfreakazoid@yahoo.com> wrote in message <gg2auh$ap2$1@fred.mathworks.com>...
> hi...
> i'm a new user in neural network.i'm doing my final year project using backpropagation neural network.i'm been given 100 learning input with each input contain 36 parameter(number).how can i start programming it.hope anyone can give me web or reading material so that i can read it and understand it from A-Z.some easy example and source code could also help.
> thanks in advance...
First, if it's your final year project, you should know where to start from. The newsgroup can't help you start code from scratch.
Secondarily, if you have 100 learning inputs, it won't lead your network anywhere. 100k learning inputs would be a starting point...
On Nov 19, 7:28=A0pm, "max " <bfreakaz...@yahoo.com> wrote:
> hi...
> i'm =A0a new user inneuralnetwork.i'm doing my final year project using b=
ackpropagationneuralnetwork.i'm been given 100 learning input with each inp=
ut contain 36 parameter(number).how can i start programming it.hope anyone =
can give me web or reading material so that i can read it and understand it=
from A-Z.some easy example and source code could also help.
> thanks in advance...
See the MATLAB documentation.
Hope this helps.
Greg
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