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» Validation of protein models by a neural network approach
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ICANN
2005
Springer
16 years 8 days ago
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
IWANN
1995
Springer
15 years 10 months ago
An Application of the Saturated Attractor Analysis to Three Typical Models
The saturated attractor analysis, an approach proposed first in [FP] for a comprehensive study of the dynamics of the Linsker model and then successfully applied to the dynamic li...
Jianfeng Feng, Brunello Tirozzi
190
Voted
BMCBI
2008
120views more  BMCBI 2008»
15 years 6 months ago
A protein interaction based model for schizophrenia study
Background: Schizophrenia is a complex disease with multiple factors contributing to its pathogenesis. In addition to environmental factors, genetic factors may also increase susc...
Pei-Chun Hsu, Ueng-Cheng Yang, Kuan-Hui Shih, Chih...
IICAI
2007
15 years 8 months ago
Topologically Continuous Associative Memory: A Theoretical Foundation
We introduce a neural network with associative memory and a continuous topology, i.e. its processing units are elements of a continuous metric space and the state space is Euclide...
Enrique Carlos Segura
207
Voted
PPSN
2004
Springer
16 years 3 days ago
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...
Georg Schneider, Heiko Wersing, Bernhard Sendhoff,...