Inductive Inference is the process of making generalizations from sample. The present problem is an inquiry regarding finding new strategy with use of an evolutionary approach, more specifically Genetic Algorithm, to perform context-free grammar induction. The work includes an effort towards determining the optimal structuring element to be used along with GA for the induction of Context Free Grammar. Some findings of the work are related to investigate the possibility of handling premature convergence problem in genetic algorithm with the application to grammar induction process. The work demonstrated the grammar induction process using proposed sequential structuring element with suggestion of the new mutation operator and the evaluation of the resulted grammar done by Push Down Automate simulator. The proposed technique is experimented and compared with the several existing techniques in the literature.
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Inductive Inference is the process of making generalizations from sample. The present problem is an inquiry regarding finding new strategy with use of an evolutionary approach, more specifically Genetic Algorithm, to perform context-free grammar induction. The work includes an effort towards determining the optimal structuring element to be used along with GA for the induction of Context Free Grammar. Some findings of the work are related to investigate the possibility of handling premature convergence problem in genetic algorithm with the application to grammar induction process. The work demonstrated the grammar induction process using proposed sequential structuring element with suggestion of the new mutation operator and the evaluation of the resulted grammar done by Push Down Automate simulator. The proposed technique is experimented and compared with the several existing techniques in the literature.
Dr. N. S. Choubey[B.E.(CSE),M.E.(CSE),Ph.D.(CSE), MBA(Finance),Ph.D.(Mngt.)] is working as Professor & Head, Department of Computer Engineering at M.P.S.T.M.E., SVKM's NMIMS University, Shirpur,India.; Dr. M. U. Kharat[B.E.(CSE),M.S.(CE),Ph.D.(CSE)] is working as Professor & Head, Department of Computer Engineering at I.O.E., M.E.T., Nashik, India.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Inductive Inference is the process of making generalizations from sample. The present problem is an inquiry regarding finding new strategy with use of an evolutionary approach, more specifically Genetic Algorithm, to perform context-free grammar induction. The work includes an effort towards determining the optimal structuring element to be used along with GA for the induction of Context Free Grammar. Some findings of the work are related to investigate the possibility of handling premature convergence problem in genetic algorithm with the application to grammar induction process. The work demonstrated the grammar induction process using proposed sequential structuring element with suggestion of the new mutation operator and the evaluation of the resulted grammar done by Push Down Automate simulator. The proposed technique is experimented and compared with the several existing techniques in the literature. 136 pp. Englisch. N° de réf. du vendeur 9783639517125
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Choubey NitinDr. N. S. Choubey[B.E.(CSE),M.E.(CSE),Ph.D.(CSE), MBA(Finance),Ph.D.(Mngt.)] is working as Professor & Head, Department of Computer Engineering at M.P.S.T.M.E., SVKM s NMIMS University, Shirpur,India. Dr. M. U. Kharat[B. N° de réf. du vendeur 4993329
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Inductive Inference is the process of making generalizations from sample. The present problem is an inquiry regarding finding new strategy with use of an evolutionary approach, more specifically Genetic Algorithm, to perform context-free grammar induction. The work includes an effort towards determining the optimal structuring element to be used along with GA for the induction of Context Free Grammar. Some findings of the work are related to investigate the possibility of handling premature convergence problem in genetic algorithm with the application to grammar induction process. The work demonstrated the grammar induction process using proposed sequential structuring element with suggestion of the new mutation operator and the evaluation of the resulted grammar done by Push Down Automate simulator. The proposed technique is experimented and compared with the several existing techniques in the literature.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. N° de réf. du vendeur 9783639517125
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Taschenbuch. Etat : Neu. Strategy for CFG Induction using Genetic Algorithm | Nitin Choubey (u. a.) | Taschenbuch | 136 S. | Englisch | 2014 | Scholars' Press | EAN 9783639517125 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 105008409
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Inductive Inference is the process of making generalizations from sample. The present problem is an inquiry regarding finding new strategy with use of an evolutionary approach, more specifically Genetic Algorithm, to perform context-free grammar induction. The work includes an effort towards determining the optimal structuring element to be used along with GA for the induction of Context Free Grammar. Some findings of the work are related to investigate the possibility of handling premature convergence problem in genetic algorithm with the application to grammar induction process. The work demonstrated the grammar induction process using proposed sequential structuring element with suggestion of the new mutation operator and the evaluation of the resulted grammar done by Push Down Automate simulator. The proposed technique is experimented and compared with the several existing techniques in the literature. N° de réf. du vendeur 9783639517125
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