Genetic algorithm selection of features for hand-printed character identification - Gaborski, Anderson, et al. - 1993Gaborski R.S, Anderson P.G and Tilley D.G (1993) 'Genetic Algorithm Selection of Features for Hand-printed Character Identification' in Artificial Neural Nets and Genetic ...
Genetic algorithms offer a powerful search method for a variety oflearning tasks, and there are different approaches in which they havebeen applied to learning processes. Structural learning algorithm onvague environment (SLAVE) is a genetic learning algorithm that uses theiterative approach to learn ...
Applying the genetic algorithm: In the first step of the proposed method, a version of GA is used for the FS56. In different FS studies, CSs are binary, while their length is constant and equal to the total number of features. In this study, for both GA and WCC algorithms, CSs have ...
Secondly, these feature vectors as the input of BP neural network are trained and modeled and then the Genetic Algorithm is used to optimize the BP Neural Network. Finally, the signal's type is determined according to the output of Neural Network. The experiments show that the correct rate ...
Simulation-based optimization of geometry parameters is an inherent and important stage of microwave design process. To ensure reliability, the optimization process is normally carried out using full-wave electromagnetic (EM) simulation tools, which enta
Optimization of an aluminum alloy anti-collision side beam hot stamping process using a multi-objective genetic algorithm Arch. Civ. Mech. Eng., 13 (2013), pp. 401-411, 10.1016/j.acme.2013.01.008 View PDFView articleView in ScopusGoogle Scholar Zhou et al., 2014 Zhou J., Wang B.Y.,...
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Application of Genetic Algorithm and Support Vector Machine in Classification of Multisource Remote Sensing Data and Support Vector Machines (SVMs) classifiers has been used in various application fields in a number of studies on classification of hyperspectral data. ... HT Chu,L Ge,HM Ng,... ...
Nuffield Department of Medicine, The Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK Markus Ralser Max Planck Institute for Molecular Genetics, Berlin, Germany Markus Ralser Contributions K.L.Y. developed the algorithm, wrote the software, and analyzed the results. F.Y. assist...
are: cooperative Genetic Algorithm (CGA)27, Late Acceptance Hill-Climbing (BBA-LAHC)28, hybridization of Mayfly algorithm (MA) and HS named as MA-HS algorithm29, hybridization of GA with PSO and Ant Colony Optimization (ACO) algorithm30, clustering-based equilibrium and ant colony optimization ...