CHAPTER7\ENVIClassicExtensions\
ffn3__define.pro
Class description for FFN3
Subclasses: FFN3KAL
Fields
Fields in FFN3
- KK 0L
- W2H ptr_new()
- NN 0L
- NP 0L
- WO ptr_new()
- LS ptr_new()
- N1 ptr_new()
- N2 ptr_new()
- GS ptr_new()
- LL1 0L
- LL2 0L
- W1H ptr_new()
Routines
result = FFN3::Init(Gs, Ls, L1, L2)Object class for implementation of a three-layer, feed-forward neural network classifier.
FFN3::Cleanupresult = FFN3::forwardPass(x)result = FFN3::vForwardPass(Gs, N1, N2)result = FFN3::classify(X, Probs, labels=labels)result = FFN3::cost(key)FFN3__Define
Routine details
top FFN3::Init
result = FFN3::Init(Gs, Ls, L1, L2)
Object class for implementation of a three-layer, feed-forward neural network classifier. This is a generic class with no training method
Parameters
- Gs in required
array of observation column vectors
- Ls in required
array of class label column vectors of form (0,0,1,0,0,...0)^T
- L1 in required
number of hidden neurons
- L2
Author information
- Author:
Mort Canty (2009)
top FFN3::Cleanup
FFN3::Cleanup
top FFN3::classify
result = FFN3::classify(X, Probs, labels=labels)
Parameters
- X
- Probs
Keywords
- labels
top FFN3__Define
FFN3__Define
File attributes
| Modification date: | Wed Mar 04 16:35:51 2009 |
| Lines: | 153 |
| Docformat: | rst rst |