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Semi-supervised Hopfield-Type Neural Network for change detection in remotely sensed images.

, , , and . RAIT, page 379-384. IEEE, (2012)

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Edge histogram based sampling with local search for solving permutation problems., , and . Int. J. Hybrid Intell. Syst., 3 (1): 11-22 (2006)Designing Hopfield Type Networks Using Genetic Algorithms and Its Comparison with Simulated Annealing., , and . IJPRAI, 11 (3): 447-461 (1997)Particle Swarm Optimised polynomial neural network for classification: a multi-objective view., , and . IJIDSS, 1 (3): 225-253 (2008)Wavelet-fuzzy hybridization: Feature-extraction and land-cover classification of remote sensing images., , and . Appl. Soft Comput., 11 (3): 2999-3011 (2011)Individual aging in genetic algorithms., , and . ANZIIS, page 276-279. IEEE, (1996)Application of elitist multi-objective genetic algorithm for classification rule generation., , , and . Appl. Soft Comput., 8 (1): 477-487 (2008)Semi-supervised Hopfield-Type Neural Network for change detection in remotely sensed images., , , and . RAIT, page 379-384. IEEE, (2012)Rule induction based object tracking., and . ICACCI, page 1871-1875. IEEE, (2014)Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network., , and . ICIT, page 141-142. IEEE Computer Society, (2006)Parallel Single and Multiple Objectives Genetic Algorithms: A Survey., , , and . IJAEC, 2 (2): 21-57 (2011)