SF = MZAneuralNetCn2Scaling(net,inputs,[method],[dt])
Applies neural network to the inputs and return the resulting scale factor.
Parameters |
Description |
net [string/struct] |
Filename with trained neural network information OR struct with fields: |
deepnet [network] |
Trained neural network |
classes [vector] |
Output classes |
inputs [vector] |
Neural network input variables, must match number of inputs required by deepnet |
method [string] |
(Optional) Can be 'ML' for maximum likelihood (default), 'WS' for weighted average of scale factor (not recommended), or 'WC' for the weighted average of the class - default for RODN neural network. |
dt [bool] |
Boolean indicating day (true) or night (false). If omitted, daytime is assumed. |
Return Values |
Description |
SF [scalar] |
Scaling factor. |
Copyright (c) 2009. All rights reserved.
|
What do you think about this topic? Send feedback!
|