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» Evolving Artificial Neural Networks that Develop in Time
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97
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AAAI
2004
15 years 2 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay
97
Voted
ICIC
2009
Springer
15 years 7 months ago
Solar Radiation Forecasting Using Ad-Hoc Time Series Preprocessing and Neural Networks
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a ...
Christophe Paoli, Cyril Voyant, Marc Muselli, Mari...
91
Voted
ICAI
2008
15 years 2 months ago
A Tabu Based Neural Network Training Algorithm for Equalization of Communication Channels
: This paper presents a new approach to equalization of communication channels using Artificial Neural Networks (ANNs). A novel method of training the ANNs using Tabu based Back Pr...
Jitendriya Kumar Satapathy, Konidala Ratna Subhash...
93
Voted
ISCAS
2003
IEEE
148views Hardware» more  ISCAS 2003»
15 years 5 months ago
Hybrid neural network architecture for age identification of ancient Kannada scripts
Wide research has been carried out and is still taking place in the field of character recognition of handwritten English characters. Recognizing English characters is much simple...
Harish K. Kashyap, Bansilal, P. Arun Koushik
88
Voted
OR
2006
Springer
15 years 16 days ago
Financial forecasting through unsupervised clustering and neural networks
In this paper, we review our work on a time series forecasting methodology based on the combination of unsupervised clustering and artificial neural networks. To address noise and...
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitr...