dynamic+static network combination

Hi, I am trying to use an neural network to estimate a function output.The output of the function is a function 10 parameters and time also. So, the network should have both dynamic (time) and static (other parameters) characteristics. Which type of Matlab Networks is appropriate for my problem?

Answer 1

[Greg Heath]

Only include parameters as inputs if they change with time.

newfit or fitnet can be used for regression or curvefitting.

newpr or patternnet can be used for classification or pattern recognition.