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Application of Evolutionary Pplications Computing Techniques to Non-Linear Ing Systems

Thesis Info

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Author

Junaid Ali

Program

PhD

Institute

International Islamic University

City

Islamabad

Province

Islamabad.

Country

Pakistan

Thesis Completing Year

2011

Thesis Completion Status

Completed

Subject

Applied Sciences

Language

English

Link

http://prr.hec.gov.pk/jspui/handle/123456789/977

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676725519025

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This dissertation presents an application of heuristic computational intelligence for the solution of non-linear systems in engineering. The design scheme is comprised of mathematical model based on feed-forward artificial neural network (ANN). The linear combination of these networks defines the unsupervised error for the system. The most suitable weights to minimize the error are obtained by training the networks employing stochastic solvers. These techniques are based on nature inspired heuristics including Pattern Search (PS), Simulated Annealing (SA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms. Rapid local convergent algorithms such as Interior Point (IP) and Active Set (AS) methods are hybridized with these global search techniques. To validate the scheme, a number of linear and non-linear initial and boundary value problems have been solved. The design methodology is also applied to a number of problems having special applications in engineering including, singular systems based on non-linear Lane Emden Fowler equation, non-linear van der Pol oscillator with stiff and non-stiff conditions and systems with high nonlinearity governed by Painlevé transcendent I. In addition to that, the scheme also provides an alternate solution for biomedical application like model of heart for low, high and normal blood pressure. It is found that the proposed results are in good agreement with available exact solution and numerical solvers like Adomian decomposition method, Homotopy Perturbation method, Homotopy analysis method and Optimal Homotopy asymptotic method, ODE15i and Runge Kutta method. The comparative studies of stochastic solvers are carried out under a stringent criterion of accuracy, effectiveness, reliability and robustness of the results based on Monte Carlo simulation and its analysis. The solvers based on SA, PS, GA, PSO, GA and PSO hybrid with IP or AS algorithms are used for optimization of neural network. It is found that the GA-IP, GA-AS, PSO-IP and PSO-AS algorithms are the best stochastic optimizers. The other perk up of the scheme have in its simplicity of the concept, ease in use, efficiency and unlike other numerical techniques, it provides the solution on continuous inputs with finite interval instead of predefine discrete grid of inputs.
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            اڈنبرا یونیورسٹی کے مشہور ماہر کیمیات ڈاکٹر الکزنڈر کرم برون کا ۸۵ سال کی عمر میں ا نتقال ہوا۔ انھوں نے تقریباً ۵۰ سال تک یونیورسٹی میں خدمات انجام دی تھیں اور تمام دنیا میں اپنے فن کے مستند استاد تسلیم کیے جاتے تھے۔ (جنوری ۱۹۲۳ء)

 

HUBUNGAN ANTARA EFIKASI DIRI DAN PERAN GURU DENGAN BELAJAR BERDASAR REGULASI DIRI PADA AKSELERAN

This research is a quantitative approach with the aim at knowing: (1). The relationship between self-efficacy and the role of the teacher by learning based on self-regulation. (2). The contribution given by self-efficacy and the role of teachers in self-regulation based learning. (3). Levels of self-efficacy and the role of teachers in learning based on self-regulation. The subject of this study was acceleration in one of the Public High Schools in Surakarta as many as 115 people. This study is a principled study on population studies. Based on the results and analysis using multiple regression it is known that the correlation coefficient R = 0.375 (p = 0.000: p <0.05), which means that there is a significant relationship between self-efficacy and the role of teachers with self-regulation. The total contribution given by the two independent variables in this study amounted to 14.1%, and for both categorizations the independent variables namely self-efficacy and the role of the teacher were at a high level, and the dependent variable of learning based on self-regulation was at a very high level. Key word: Self-Regulated Learning, Self-Efficacy, The Role of Teachers

Comparative Evaluation of Single Super Phosphate and Di-Calcium Phosphate in Cows and Buffaloes: I Effect on Production and Health, and Ii Treatment of Phosphorus- Associated Clinical Disorders

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