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» Artificial Neural Networks to Predict Daylily Hybrids
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CEC
2005
IEEE
14 years 3 months ago
Genetic programming approach for fault modeling of electronic hardware
This paper presents two variants of Genetic Programming (GP) approaches for intelligent online performance monitoring of electronic circuits and systems. Reliability modeling of el...
Ajith Abraham, Crina Grosan
NECO
2006
157views more  NECO 2006»
13 years 9 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
CISIS
2010
IEEE
13 years 7 months ago
Modeling of Stress-induced Regulatory Cascades Involving Transcription Factor Dimers
Regulatory cascades consisting of stress-induced gene modules and their transcriptional regulators were recently identified and quantitatively modeled using Artificial Neural Netwo...
Maria Manioudaki, Panayiota Poirazi
BMCBI
2011
13 years 4 months ago
NClassG+: A classifier for non-classically secreted Gram-positive bacterial proteins
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
Daniel Restrepo-Montoya, Camilo Pino, Luis F. Ni&n...
HAIS
2008
Springer
13 years 11 months ago
A WeVoS-CBR Approach to Oil Spill Problem
The hybrid intelligent system presented here, forecasts the presence or not of oil slicks in a certain area of the open sea after an oil spill using CaseBased Reasoning methodology...
Emilio Corchado, Bruno Baruque, Aitor Mata, Juan M...