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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5
Knowledge-Based Cascade-Correlation
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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Thomas R. Shultz, Francois Rivest, "Knowledge-Based Cascade-Correlation," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 5, pp. 5641, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.10008,
author = {Thomas R. Shultz and Francois Rivest},
title = {Knowledge-Based Cascade-Correlation},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {5},
year = {2000},
issn = {1098-7576},
pages = {5641},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.10008},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - Knowledge-Based Cascade-Correlation
SN - 1098-7576
SP
EP
A1 - Thomas R. Shultz,
A1 - Francois Rivest,
PY - 2000
VL - 5
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Thomas R. Shultz, McGill University
Francois Rivest, McGill University
Neural network modeling typically ignores the role of knowledge in learning by starting from random weights. A new algorithm extends cascade-correlation by recruiting previously learned networks as well as single hidden units. Knowledge-based cascade-correlation (KBCC) finds, adapts, and uses its relevant knowledge to speed learning. In this paper, we describe KBCC and illustrate its performance on a small, but clear problem.
Citation:
Thomas R. Shultz, Francois Rivest, "Knowledge-Based Cascade-Correlation," ijcnn, vol. 5, pp.5641, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000
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