
Type 1 neural network:
Data type: 
	Feature space: Real, N-dimensional
	Target Space:  Real, 1-dimensional
Data required:
	Training file: train.dat
	Test file:	test.dat
Data format:
	train.dat and test.dat format is:
	field 1			: Case name, Name of the data item
	field 2,3,..., 1+N	: Values of the features, which are expected to
				  influenece the target property. All values are
				  Numerical (float type).
	field: N+2		: Desired/ expermintal target values (Numerical)
				  Range of values should be between 0 and 1.
Program options:
	Training options:	MAE, MSE or Net Prediction (sensitivity+specifcity)/2
Program ouput:
	1. Correlation matrix:	N correlation coefficient of
				each feature will be calculated and
				printed in that order.
	2. Training MAE:
	3. Test MAE:
	4. Training correlation:
	5. Test correlation:
	6. Sensitivity and Specificity 
	by dividing the data into two 
	categories, about the mean value:

	7. Weight matrix 
	8. Bias matrix
