Computational Intelligence in Data Mining - Volume 2: by Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal,
By Lakhmi C. Jain, Himansu Sekhar Behera, Jyotsna Kumar Mandal, Durga Prasad Mohapatra
The contributed quantity goals to explicate and handle the problems and demanding situations that of seamless integration of the 2 center disciplines of machine technological know-how, i.e., computational intelligence and knowledge mining. information Mining goals on the computerized discovery of underlying non-trivial wisdom from datasets by means of utilising clever research concepts. The curiosity during this study quarter has skilled a substantial development within the final years because of key components: (a) wisdom hidden in agencies’ databases could be exploited to enhance strategic and managerial decision-making; (b) the big quantity of knowledge controlled through agencies makes it very unlikely to hold out a guide research. The e-book addresses various equipment and methods of integration for boosting the general target of information mining. The ebook is helping to disseminate the data approximately a few leading edge, lively study instructions within the box of information mining, laptop and computational intelligence, besides a few present matters and functions of comparable topics.
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Additional info for Computational Intelligence in Data Mining - Volume 2: Proceedings of the International Conference on CIDM, 20-21 December 2014
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Comput. 1(4), 173–194 (2011) 17. : A general approach to sizing and power density equations for comparison of electrical machines. IEEE Trans. Ind. Appl. 34(1), 92–97 (1998) 18. : Multiobjective optimal design of three-phase induction motor using improved evolution strategy. IEEE Trans. Magn. 34(5), 2980–2983 (1998) 19. : Multiobjective optimum design of electrical machines for variable speed motor drives. O. M. Dhanya Abstract Offline Handwritten Character Recognition of Malayalam scripts have gained remarkable attention in the past few years.
Vk gT if and only if uÞ fi ð~ fi ð~ vÞ 8i 2 f1; 2; . ; M g fi ð~ uÞ\ fi ð~ vÞ 9i 2 f1; 2; . ; M g ) ð5Þ Those solutions which are not dominated by other solutions for a given set are considered non-dominated solutions are called Pareto optimal solution. The practical application of genetic algorithm to multi-objective optimization problem (MOP) involves various problems out of which NSGA-II [13, 14] algorithm has been implemented to find the Pareto-optimal solution between power density and efficiency.
A general approach to sizing and power density equations for comparison of electrical machines. IEEE Trans. Ind. Appl. 34(1), 92–97 (1998) 18. : Multiobjective optimal design of three-phase induction motor using improved evolution strategy. IEEE Trans. Magn. 34(5), 2980–2983 (1998) 19. : Multiobjective optimum design of electrical machines for variable speed motor drives. O. M. Dhanya Abstract Offline Handwritten Character Recognition of Malayalam scripts have gained remarkable attention in the past few years.