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In this research, a numerical computational intelligence method is developed for solving the nonlinear singular perturbed problems in different areas with the uses of optimizers based on artificial neural networks with Active Set Technique (AST), Sequential Quadratic Programing (SQP) and Interior Point Techniques (IPT). The Neural network models are helping to construct a mathematical model for the nonlinear singular perturbed differential equations. The motivation towards this research work comes actually from the aim of introducing a reliable framework that make the combination of ANNs optimized with soft computing frameworks to cope with such challenging linear and non-linear singular perturbed system of equations. The validity of such methods has been examined thoroughly for various non-singular boundary value problems arising in science, engineering and bio engineering as well. Comprehensive numerical experimentation has been performed to validate the accuracy, convergence, and robustness of the designed methodology Further Comparative study has also been made with available standard solution to analyze the correctness of the proposed scheme.
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Farhat Hussain Bazmi a obtenu sa maîtrise à l'université de Gujrat, au Pakistan. Il est actuellement professeur de mathématiques à l'Université de Central Punjab, campus de Gujranwala, Pakistan. Il a été membre de différents instituts publics et privés qui promeuvent les mathématiques.
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Solution of Non-Linear Singular Perturbed System Using ANN
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LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 6138041984
ISBN 13: 9786138041986
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this research, a numerical computational intelligence method is developed for solving the nonlinear singular perturbed problems in different areas with the uses of optimizers based on artificial neural networks with Active Set Technique (AST), Sequential Quadratic Programing (SQP) and Interior Point Techniques (IPT). The Neural network models are helping to construct a mathematical model for the nonlinear singular perturbed differential equations. The motivation towards this research work comes actually from the aim of introducing a reliable framework that make the combination of ANNs optimized with soft computing frameworks to cope with such challenging linear and non-linear singular perturbed system of equations. The validity of such methods has been examined thoroughly for various non-singular boundary value problems arising in science, engineering and bio engineering as well. Comprehensive numerical experimentation has been performed to validate the accuracy, convergence, and robustness of the designed methodology Further Comparative study has also been made with available standard solution to analyze the correctness of the proposed scheme. 68 pp. Englisch. Bestandsnummer des Verkäufers 9786138041986
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Solution of Non-Linear Singular Perturbed System Using ANN
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Solution of Non-Linear Singular Perturbed System Using ANN
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Solution of Non-Linear Singular Perturbed System Using ANN
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Solution of Non-Linear Singular Perturbed System Using ANN
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LAP LAMBERT Academic Publishing, 2018
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ISBN 13: 9786138041986
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bazmi Farhat HussainFarhat Hussain Bazmi received his MS degree from the University of Gujrat, Pakistan. He is currently a professor of mathematics at the University of Central Punjab, Gujranwala campus, Pakistan. He has been a memb. Bestandsnummer des Verkäufers 385846407
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Solution of Non-Linear Singular Perturbed System Using ANN
Verlag:
LAP LAMBERT Academic Publishing Feb 2018, 2018
ISBN 10: 6138041984
ISBN 13: 9786138041986
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this research, a numerical computational intelligence method is developed for solving the nonlinear singular perturbed problems in different areas with the uses of optimizers based on artificial neural networks with Active Set Technique (AST), Sequential Quadratic Programing (SQP) and Interior Point Techniques (IPT). The Neural network models are helping to construct a mathematical model for the nonlinear singular perturbed differential equations. The motivation towards this research work comes actually from the aim of introducing a reliable framework that make the combination of ANNs optimized with soft computing frameworks to cope with such challenging linear and non-linear singular perturbed system of equations. The validity of such methods has been examined thoroughly for various non-singular boundary value problems arising in science, engineering and bio engineering as well. Comprehensive numerical experimentation has been performed to validate the accuracy, convergence, and robustness of the designed methodology Further Comparative study has also been made with available standard solution to analyze the correctness of the proposed scheme.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch. Bestandsnummer des Verkäufers 9786138041986
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this research, a numerical computational intelligence method is developed for solving the nonlinear singular perturbed problems in different areas with the uses of optimizers based on artificial neural networks with Active Set Technique (AST), Sequential Quadratic Programing (SQP) and Interior Point Techniques (IPT). The Neural network models are helping to construct a mathematical model for the nonlinear singular perturbed differential equations. The motivation towards this research work comes actually from the aim of introducing a reliable framework that make the combination of ANNs optimized with soft computing frameworks to cope with such challenging linear and non-linear singular perturbed system of equations. The validity of such methods has been examined thoroughly for various non-singular boundary value problems arising in science, engineering and bio engineering as well. Comprehensive numerical experimentation has been performed to validate the accuracy, convergence, and robustness of the designed methodology Further Comparative study has also been made with available standard solution to analyze the correctness of the proposed scheme. Bestandsnummer des Verkäufers 9786138041986
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Solution of Non-Linear Singular Perturbed System Using ANN
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LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138041984
ISBN 13: 9786138041986
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Taschenbuch. Zustand: Neu. Solution of Non-Linear Singular Perturbed System Using ANN | Farhat Hussain Bazmi | Taschenbuch | 68 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786138041986 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 112806551
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