Neural Network Function Estimation
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Hello every one, I have one question regarding neural networks and it's functionality. I'm newbie in this field. Actually i want to use a supervised neural network to estimate a function values at different locations. Suppose we want to estimate y = x^2 and we have some training data to learn the network x=1 => y=1 x=2 => y=4 x=3 => y=9 x=4 => y=16 x=5 => y=25 Now suppose we want to estimate function value at x = 10 At first it seems that Back propagation is the best network for this purpose but after i tried some source code from CodeProject i found out that Back Propagation can only estimate function values that are around the training set!(Tell me if I'm wrong!) so for example it can estimate function at x=4.5 but it cannot estimate function at x=10 (i think it will return 25) So which type of Neural Network should i use for this purpose? Any ideas?