A high-level network of neural classifiers
The high-level Neural Network model described in this paper is a multi-layered feedforward network where each hidden and output unit is also a Neural Network. Each of the units which compose the Neural Network, termed classifier unit, is an incremental network that adjusts its architecture depending...
Saved in:
Main Author: | Azcarraga, Arnulfo P. |
---|---|
Format: | text |
Published: |
Animo Repository
2001
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/11962 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
MofN rule extraction from neural networks trained with augmented discretized input
by: Setiono, Rudy, et al.
Published: (2014) -
Knowledge acquisition and revision via neural networks
by: Azcarraga, Arnulfo P., et al.
Published: (2004) -
Measuring the contribution of filter bank layer to performance of convolutional neural networks
by: Cordel, Macario O., II, et al.
Published: (2017) -
Belief-evidence fusion through successive rule refinement in a hybrid intelligent system
by: Marcos, Nelson
Published: (2002) -
Neural network rule extraction for gaining insight into the characteristics of poverty
by: Azcarraga, Arnulfo P., et al.
Published: (2018)