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» Image classification using hybrid neural networks
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APIN
2000
87views more  APIN 2000»
14 years 9 months ago
The Architecture and Performance of a Stochastic Competitive Evolutionary Neural Tree Network
: A new dynamic tree structured network - the Stochastic Competitive Evolutionary Neural Tree (SCENT) is introduced. The network is able to provide a hierarchical classification of...
Neil Davey, Rod Adams, Stella J. George
ESANN
2000
14 years 11 months ago
Confidence estimation methods for neural networks : a practical comparison
Feed-forward neural networks (Multi-Layered Perceptrons) are used widely in real-world regression or classification tasks. A reliable and practical measure of prediction "conf...
Georgios Papadopoulos, Peter J. Edwards, Alan F. M...
ISCC
2007
IEEE
15 years 4 months ago
Long Horizon End-to-End Delay Forecasts: A Multi-Step-Ahead Hybrid Approach
A long horizon end-to-end delay forecast, if possible, will be a breakthrough in traffic engineering. This paper introduces a hybrid approach to forecast end-to-end delays using ...
Vinh Bui, Weiping Zhu, Antonio Pescapè, Ale...
NN
2008
Springer
146views Neural Networks» more  NN 2008»
14 years 9 months ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir
IWANN
1995
Springer
15 years 1 months ago
EL-SIM: a Development Environment for Neuro-Fuzzy Intelligent Controllers
1 This paper presents a new technique for the design of real-time controllers based on a hybrid approach which integrates several control strategies, such as intelligent controlle...
Marcello Chiaberge, G. Di Bene, S. Di Pascoli, R. ...