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Home > A Pplications Pplication of E Volutionary C Omputing Ing T Echniques to N on -L Inear S Ystems

A Pplications Pplication of E Volutionary C Omputing Ing T Echniques to N on -L Inear S Ystems

Thesis Info

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External Link

Author

Junaid Ali

Program

PhD

Institute

International Islamic University

City

Islamabad

Province

Islamabad.

Country

Pakistan

Thesis Completing Year

2011

Thesis Completion Status

Completed

Subject

Computer Science

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/748/1/1856S.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727687060

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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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۹-اي

-اي

"فِي أَىِّ صُورَةٍ مَّا شَآءَ رَكَّبَكَ"۔ [[1]]

"اور جس صورت میں چاہا تجھ کو جوڑ کر تیار کیا؟"۔



[[1]]     القرآن ، ۸۲: ۸۔

The Influence of Theory of Planned Behavior and Technology Acceptance Models on Behavioral Intentions in Online Grocery Shopping in Pekanbaru City

This study was carried out to investigate the impact of integrating two theories on consumer behavior, namely the Theory of Planned Behavior (TPB) and Technology Acceptance Models (TAM), on the consumer behavior intention in online food shopping in the city of Pekanbaru. A descriptive quantitative method was employed in this research, utilizing purposive sampling techniques. The study involved 174 female respondents aged 18 and above, residing in the city of Pekanbaru, who had previously engaged in online food shopping. The analysis of data was performed utilizing the Structural Equation Modeling-Partial Least Squares (SEM-PLS) approach. The results indicated that both the perceived usefulness (PU) and perceived ease of use have a notable impact on attitude (ATT). Furthermore, behavioral intention was significantly influenced by attitude (ATT), subjective norm (SN), and perceived behavioral control (PBC). The originality of this study resides in combining the Theory of Planned Behavior (TPB) and Technology Acceptance Models (TAM) within the specific context of online food shopping in the city of Pekanbaru. This study is expected to contribute to the field of consumer behavior, especially the behavior of consumers in Pekanbaru regarding online food shopping.

A Critical Analysis of the Effectiveness of the Teaching Methods of Quran and Sunnah at Secondary Level

The main purpose of the study was to identify effective and suitable methods for teaching the students at secondary level. In order to derive the desired objective the teaching methods of Quran and Sunnah and traditional methods were selected for teaching English grammar parts of speech, tenses, stories and composition at secondary level. The research study was experimental in nature and GGHS Tarnab Farm Peshawar Khyber Pakhtunkhwa was selected as sample through purposive sampling. There were two sections of class 9th in the school. From each section 30 students were selected randomly through new draw method techniques. One group was considered as experimental and other as control group. One of the teachers from the same school was selected to teach both the group English grammar (part of speech, tenses, stories, and composition in separate period of 40 minutes daily. For the control group teacher used traditional method while experimental group was taught by teaching methods of Quran and Sunnah. The researcher briefed and guided the teacher for both the traditional method and teaching methods of Quran and Sunnah, direct method, lecture method, question/answer method. The experiment was conducted in 48 working days. Two achievement tests were administered in the subject of English at secondary level. Pre-tets was administered before starting the experiment while post test was administered on completion of experimental task. Two attitude scales: one for control group and other for experimental group were also administered at the end in order to explore the students’ views about the selected methods of teaching and their effectiveness at secondary level. The collected data through achievement tests was analysed through SPSS version 17. The t-test was applied for two independent variables. And means, standard deviations, degree of freedom t-value and p-value were obtained, significance level between the mean scores was seen at .05 level as the criterion for the rejection of null hypothesis. The collected data through attitude scales was analyzed by applying percentage. The results obtained through two achievement tests and two attitude tests showed better performance of the students of experimental group than control group. The time schedule for per-period was divided in to three parts, time taken by teacher, time used by student and time used by both students and teacher, percentage was applied for analysis of proportionate amount of time. The findings of study are that the students who had been taught through Quran and Sunnah teaching methods showed good performance, understand more and considered these methods more effective than control group who had been taught by traditional method of teaching. The study recommends that the teaching method of Quran and Sunnah may be used at higher secondary level. These methods may be applied in teaching of other subjects like Urdu, Islamiyyat and Pakistan studies and other subjects. Distance education may play an important role by introducing these methods in teachers. All the pre-service and in service training institutes may bring awareness among teachers about benefits and effective uses of Quran and Sunnah teaching methods.