Function File: net = newff (Pr,ss,trf,btf,blf,pf)

newff create a feed-forward backpropagation network

          Pr - R x 2 matrix of min and max values for R input elements
          Ss - 1 x Ni row vector with size of ith layer, for N layers
          trf - 1 x Ni list with transfer function of ith layer,
                default = "tansig"
          btf - Batch network training function,
                default = "trainlm"
          blf - Batch weight/bias learning function,
                default = "learngdm"
          pf  - Performance function,
                default = "mse".

          EXAMPLE 1
          Pr = [0.1 0.8; 0.1 0.75; 0.01 0.8];
               it's a 3 x 2 matrix, this means 3 input neurons
          
          net = newff(Pr, [4 1], {"tansig","purelin"}, "trainlm", "learngdm", "mse");