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SOFTCO
2004
Springer
14 years 21 days ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira
BMCBI
2008
123views more  BMCBI 2008»
13 years 7 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...
FLAIRS
1998
13 years 8 months ago
Multi-Version Systems of Neural Networks for Predicting the Risk of Osteoporosis
This paper describes the methodology of developing multiversion systems using neural networks in the hope of improving their performance and reliability. However, a system impleme...
Wenjia Wang, Derek Partridge, Sarah Rae
IJCNN
2000
IEEE
13 years 11 months ago
Incorporating a priori Knowledge into Initialized Weights for Neural Classifier
Artificial neural networks (ANN), esp. multilayer perceptrons (MLP) have been widely used in pattern recognition and classification. Nevertheless, how to incorporate a priori know...
Zhe Chen, Tian-Jin Feng, Zweitze Houkes
HIS
2001
13 years 8 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