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» On Generalization by Neural Networks
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HIS
2001
15 years 4 months ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham
AUSAI
2001
Springer
15 years 7 months ago
A Memetic Pareto Evolutionary Approach to Artificial Neural Networks
Evolutionary Artificial Neural Networks (EANN) have been a focus of research in the areas of Evolutionary Algorithms (EA) and Artificial Neural Networks (ANN) for the last decade. ...
Hussein A. Abbass
NC
1998
170views Neural Networks» more  NC 1998»
15 years 4 months ago
Neural Network Supported Adaptation in Case-based Reasoning
: This paper describes a system, which integrates Neural Network (NN) models into adaptation circle of Case-based Reasoning (CBR) system. Neural Network supported adaptation can pr...
Yain-Whar Si, Otakar Babka
183
Voted
AI
2002
Springer
15 years 3 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
IJCNN
2006
IEEE
15 years 9 months ago
Learning using Dynamical Regime Identification and Synchronization
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
Nicolas Brodu