how define constraint on the outputs of ANN fitting?
2 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
farzad
el 11 de Mzo. de 2015
Comentada: farzad
el 8 de Abr. de 2015
Hi All
1- how shall I define a contraint on one of all the outputs ? for example if one of the outputs is an angle , and I don't want it to increase more than 90 , since it's out of the logic of my problem
2- when I train a network in a range of data , should it always be given inputs in the same range or also should work for out of the first input ?
Respuesta aceptada
Greg Heath
el 16 de Mzo. de 2015
It depends on the reason for the constraint. Is it math/physics or convenience?
It is all done by a combination of target scaling and choice of output transfer function.
For example,
1. PURELIN ( -inf , inf )
2. TANSIG ( -a , +b ), a, b, finite
3. LOGSIG ( 0 , +b ), b finite
Hope this helps.
Thank you for formally accepting my answer
Greg
10 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Sequence and Numeric Feature Data Workflows en Help Center y File Exchange.
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!