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FLAIRS
1998
13 years 6 months ago
Aflatoxin Prediction Using a GA Trained Neural Network
Predictingthe level of aflatoxincontaminationin cropsof peanuts is a task of significant importance. Backpmpagationneural networkshavebeenused in the past to modelthis problem,but...
C. E. Henderson, Walter D. Potter, Ronald W. McCle...
ICARCV
2008
IEEE
200views Robotics» more  ICARCV 2008»
13 years 11 months ago
A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based animat
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
Fabien Moutarde
IJCNN
2000
IEEE
13 years 9 months ago
Sensor Errors Prediction Using Neural Networks
The features of neural networks using for increasing of an accuracy of physical quantity measurement are considered by prediction of sensor drift. The technique of data volume incr...
Anatoly Sachenko, Volodymyr Kochan, Volodymyr Turc...
ASC
2004
13 years 4 months ago
Extracting rules from trained neural network using GA for managing E-business
Theabilitytointelligentlycollect,manageandanalyzeinformationaboutcustomersandsellersisakeysourceofcompetitive advantage for an e-business. This ability provides an opportunity to ...
Atta Ebrahim E. ElAlfi, R. Haque, M. Esmel ElAlami
GECCO
2000
Springer
13 years 8 months ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith