I want to design a neural network (newff) for following data which has one input and two out puts. can anyone help me to write matlab code

I want to design a neural network (newff) for following data which has one input and two out puts. can anyone help me to write matlab code

Input1 Out1 OUT 2 1.175 0.640 1.155 1.675 0.705 1.096 2.175 0.909 1009 2.675 0.671 1.027 3.175 0.781 0.899 3.675 0.781 0.781

I tried by these two MATlab commands to upload data to neural network .while training it shows some errors. i think dualout command is the incorrect. dualout= {[0.640 1.155] [0.705 1.096] [0.909 1.009] [0.671 1.027] [0.781 0.899] [0.736 0.737] [0.44 1.827]} probx=[1.175 1.675 2.175 2.675 3.175 3.675 4.175;23.9 23.9 23.9 23.9 23.9 23.9 23.9]

Answer 1

[Greg Heath]

Of course we can help

 1. Explain your problem and identify the inputs and targets
 2. NEWFF has been obsolete since 2010b. However, it is still available.
 3. Use the special case NEWFIT for regression and curve-fitting or the special case NEWPR for classification and pattern-recognition.
 4. If you have a regression problem, see the help and documentation examples
    help newfit
    doc newfit
 5. Initialize the random number generator once and only once before using a for loop to design 10 nets. 
 6. If unsuccessful, post your code and error statements.

[Greg Heath]

The data you posted makes no sense.

 1. The curly bracket should only be used for cells
 2. There is at least one obvious misprint
 3. You cannot have a constant value variable
 4. You really don't have enough data.
 5. Try some of the data sets obtained from either of the commands

 help nndatasets

 doc nndatasets