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» A new approach to artificial neural networks
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ICDAR
1999
IEEE
15 years 6 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
ACL
1998
15 years 3 months ago
Neural Network Recognition of Spelling Errors
One area in which artificial neural networks (ANNs) may strengthen NLP systems is in the identification of words under noisy conditions. In order to achieve this benefit when spel...
Mark Lewellen
ISNN
2005
Springer
15 years 7 months ago
Application of Neural Networks for Very Short-Term Load Forecasting in Power Systems
Load forecasting has become in recent years one of the major areas of research in electrical engineering. In a deregulated, competitive power market, utilities tend to maintain the...
Hungcheng Chen, Kuohua Huang, Lungyi Chang
AES
2008
Springer
133views Cryptology» more  AES 2008»
15 years 2 months ago
Alternative neural networks to estimate the scour below spillways
Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
H. Md. Azamathulla, M. C. Deo, P. B. Deolalikar
HICSS
2005
IEEE
142views Biometrics» more  HICSS 2005»
15 years 7 months ago
Understand Corporate Rationales for Engaging in Reverse Stock Splits - A Data Mining Application
There has been much written on the individual topics of bankruptcy prediction, corporate performance, and reverse stock splits. However, there is little research into the relation...
Melody Y. Kiang, Dorothy M. Fisher, Steve A. Fishe...