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Non-linear modeling based on limited samples is a difficult problem. Incorporating a prior knowledge to this type of problem might offer a promising solution. Various techniques have been proposed to incorporate prior knowledge but depend on one optimal solution which subject to pre-selection of coefficients. Incorporating the knowledge based on Pareto optimality concept offers simple post-selection of solutions. Yet, the proposed Pareto optimality concept may trap to either under-fitting or over-fitting problem based on the obtained Pareto front. The focus of this study is primarily to improve the initialization of the chromosome in order to obtain a reliable Pareto front. One system identification of control engineering problem is used as a problem to be validated. It is shown that the proposed technique is possible to be implemented by capturing the best solution in the obtained Pareto front and relatively improve the accuracy up to 8% performance of the prediction.

Pensyarah FKEE UMP Kongsi Kepakaran Dalam Pengaturcaraan dan Pembinaan Lego Mindstrom

Pekan 23 Februari - Fakulti Kejuruteraan Elektrik dan Elektronik (FKEE) Universiti Malaysia Pahang (UMP) dengan kerjasama Pejabat Pendidikan Daerah Pekan (PPD) menganjurkan Bengkel Traning of Trainers (TOT), Pekan baru-baru ini.

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Innovate 2017 - the STEM EcoSystem

UMP Pekan 14 July - As the Pahang State Level host for this year’s championship, we welcome you to the 2017 Young Innovate Malaysia Competition. YI 2017 provides a highly competitive platform for academicians, teachers, industries and most importantly the future generation - our school children.

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On 17th May 2017, 20 of the faculty staffs were involved in “Santai Sains Bersama FKEE”: a STEM outreach program at Sek. Keb. Sri Maulana in Pekan, Pahang. This is.

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Program GTEX ENHANCING GRADUATE SKILLS TOWARDS EMPLOYABILITY ini merupakan program persedian kepada pelajar universiti tahun akhir yang bakal melalui alam pekerjaan.

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