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» Artificial Neural Networks to Predict Daylily Hybrids
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108
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BMCBI
2006
122views more  BMCBI 2006»
14 years 11 months ago
A multivariate prediction model for microarray cross-hybridization
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
14 years 6 months ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab
116
Voted
AIA
2006
15 years 1 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
80
Voted
FLAIRS
1998
15 years 1 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
GECCO
2003
Springer
139views Optimization» more  GECCO 2003»
15 years 4 months ago
Daily Stock Prediction Using Neuro-genetic Hybrids
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
Yung-Keun Kwon, Byung Ro Moon