Artificial Neural Network's input NORMALIZATION

hi every one,

I have a question regarding the normalization of kind of data I have. I have two sets of data to the ANN, training data and testing data. Both of them are having 5 data points at each input.

Training data looks like:

4.04174435161 0.00572348 -0.0153630110827 0.602838009364 -2.36559733245

3.03056109866 0.0662695 -0.0533391771878 0.55923481044 -1.91116449019

2.52071323312 0.121233 0.260306969065 0.467349509343 -1.70735726533

Testing set looks like:

2.33842672041 -0.137656 -0.0597465187944 0.448352030836 -1.00431677993

3.96620615784 0.0438668 0.219515113659 0.596424503954 -2.0851352013

1.99407739363 0.100512 0.360384341206 0.385154801184 -1.18594026984

I would like to know the way to normalize these inputs before feeding to the ANN.

Cheers Mahdi