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» On Generalization by Neural Networks
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106
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CORR
2008
Springer
116views Education» more  CORR 2008»
15 years 3 months ago
To which extend is the "neural code" a metric ?
Here is proposed a review of the different choices to structure spike trains, using deterministic metrics. Temporal constraints observed in biological or computational spike train...
Bruno Cessac, Horacio Rostro-González, Juan...
151
Voted
FLAIRS
2000
15 years 5 months ago
Systematic Treatment of Failures Using Multilayer Perceptrons
This paper discusses the empirical evaluation of improving generalization performance of neural networks by systematic treatment of training and test failures. As a result of syst...
Fadzilah Siraj, Derek Partridge
ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
15 years 8 months ago
Non Linear Traffic Modeling of VBR MPEG-2 Video Sources
In this paper, a neural network scheme is presented for modeling VBR MPEG-2 video sources. In particular, three non linear autoregressive models (NAR) are proposed to model the ag...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
128
Voted
ISNN
2007
Springer
15 years 9 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
124
Voted
BIOADIT
2006
Springer
15 years 7 months ago
Attractor Memory with Self-organizing Input
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Christopher Johansson, Anders Lansner