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Abstract: In this paper, we looked into two issues in pattern recognition using neural networks trained by Back Propagation (BP), namely inefficient learning and insufficient generalization. We observed that these phenomena are partly caused by the way the hidden layer units responds to the inputs. (Update)
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BibTeX entry: (Update)
@misc{ taga-regularization,
author = "Kei Taga and Keisuke Kameyama and Kazuo Toraichi",
title = "Regularization of Hidden Layer Unit Response for Neural Networks",
url = "citeseer.ist.psu.edu/taga03regularization.html" }
Citations (may not include all citations):253 Beyond regression : New tools for prediction and analysis in.. (context) - Werbos - 1974
7 Neural Network Pruning by Fusing Hidden Layer Units (context) - Kosugi - 1991
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