Can I have a neural network output values >100? All the samples and articles i have seen are all having outputs of 1 or less. Is there a hidden reason why no one is using NN to produce higher value integers?? My situation is that I want NN to predict the exact outcome value rather than a -1

If I have a NN with say 4 inputs and 1 output with 
Round 1 Input: 51,22,35,43 Output: 847
Round 2 Input: 25,31,46,29 Output: 761
I want 
Round n Input: 51,33,19,27 Output: ??? (expected value)

I have read that GA is better in training NN but few examples have been provided to guide beginners like me. Am yet to see a detailed article on how to get this done. Using same example above, if i get the (near) best weights from first evolution using Round 1 error value, do i add the weight as parents in the next generation for Round 2?? How do i ensure that the best chromosome from previous rounds don't die after that generation.

Links to existing articles and detailed explanation will be very much appreciated. Thanks.
Is sounds like you want to use Neural Networks to do a regression problem instead of classification.

This post gives an example of using a neural network to do regression.