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» Training Methods for Adaptive Boosting of Neural Networks
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ANSS
1998
IEEE
15 years 1 months ago
An Adaptive Synchronization Protocol for Parallel Discrete Event Simulation
Simulation, especially discrete event simulation (DES), is used in a variety of disciplines where numerical methods are difficult or impossible to apply. One problem with this met...
Keith R. Bisset
KES
2005
Springer
15 years 3 months ago
Fuzzy Logic and Neuro-fuzzy Modelling of Diesel Spray Penetration
: The aim of this study was to demonstrate the effectiveness of an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of diesel spray penetration length in the cylind...
Shaun H. Lee, Robert J. Howlett, Simon D. Walters,...
NECO
2010
103views more  NECO 2010»
14 years 4 months ago
Population Models of Temporal Differentiation
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
Bryan P. Tripp, Chris Eliasmith
BMCBI
2006
169views more  BMCBI 2006»
14 years 9 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
IJCNN
2008
IEEE
15 years 4 months ago
Semi-supervised nearest neighbor editing
—This paper proposes a novel method for data editing. The goal of data editing in instance-based learning is to remove instances from a training set in order to increase the accu...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Sungyoun...