How can I modify objective function in "trainingOptions" to suit a particular unusual problem

I'm trying to solve free-boundary problem with neural network and I find that Neural Network Toolbox is very helpful in constructing network but the problem is I don't know how to input my particular training function which is of the form (DE(LHS)+upper boundary +lower boundary)^2 instead of typical 'mse' e.g.(out-target)^2.

[Greg Heath]

What is DE?

What is LHS?

Greg

Answer 1

[Greg Heath]

I think you are confused.

1. Your input and target define your function

2. In general, the standard net with tansig hidden nodes and linear output nodes will suffice.

3. However, if there is a physical or mathematical reason that the output has upper and/or lower bounds, then you can improve your solution by using logsig or tansig in the output layer

Hope this helps

Thank you for formally accepting my answer

Greg