Maheri M.,Institute for Mathematical Research
AIP Conference Proceedings | Year: 2015
In this paper we investigate on the synchronization problem between two different chaotic dynamical system based on the Lyapunov stability theorem by using nonlinear control functions. Active control schemes are used for synchronization Liu system as drive and Rossler system as response. Numerical simulation by using Maple software are used to show effectiveness of the proposed schemes. © 2015 AIP Publishing LLC.
Maheri M.,Institute for Mathematical Research |
Md Arifin N.,43400 UPM Serdang |
Ismail F.,43400 UPM Serdang
Life Science Journal | Year: 2014
In this paper we studied feedback control for anti-synchronization chaotic dynamical system. Active control schemes applied on two identical Genisio systems and then on two different Liu-Rossler systems based on the Lyapunov stability theorem. Numerical simulation by using Maple software are used to show effectiveness of the proposed schemes.
Jafari S.A.,University Putra Malaysia |
Mashohor S.,University Putra Malaysia |
Varnamkhasti M.J.,Institute for Mathematical Research
Journal of Petroleum Science and Engineering | Year: 2011
Combining numerous appropriate experts can improve the generalization performance of the group when compared to a single network alone. There are different ways of combining the intelligent systems' outputs in the combiner in the committee neural network, such as simple averaging, gating network, stacking, support vector machine, and genetic algorithm. Premature convergence is a classical problem in finding optimal solution in genetic algorithms. In this paper, we propose a new technique for choosing the female chromosome during sexual selection to avoid the premature convergence in a genetic algorithm. A bi-linear allocation lifetime approach is used to label the chromosomes based on their fitness value, which will then be used to characterize the diversity of the population. The label of the selected male chromosome and the population diversity of the previous generation are then applied within a set of fuzzy rules to select a suitable female chromosome for recombination. Finally, we use fuzzy genetic algorithm methods for combining the output of experts to predict a reservoir parameter in petroleum industry. The results show that the proposed method (fuzzy genetic algorithm) gives the smallest error and highest correlation coefficient compared to five members and genetic algorithm and produces significant information on the reliability of the permeability predictions. © 2011 Elsevier B.V.
Ghanbari S.,Institute for Mathematical Research |
Othman M.,University Putra Malaysia |
Leong W.J.,Institute for Mathematical Research |
Abu Bakar M.R.,Institute for Mathematical Research
Lecture Notes in Electrical Engineering | Year: 2014
Divisible load theory has become a popular area of research during the past two decades. Based on divisible load theory the computations and communications can be divided into some arbitrarily independent parts and each part can be processed independently by a processor. Existing divisible load scheduling algorithms do not consider any priority for allocating fraction of load. In some situation the fractions of load must be allocated based on some priorities. In this paper we propose a multi criteria divisible load scheduling algorithm. The proposed model considers several criteria with different priorities for allocating fractions of load to processors. Experimental result indicates the proposed algorithm can handle the priority of processors. © Springer Science+Business Media Singapore 2014.
Kargar M.,Institute for Mathematical Research |
Tarmizi R.A.,Institute for Mathematical Research |
Tarmizi R.A.,University Putra Malaysia |
Bayat S.,Institute for Mathematical Research
Procedia - Social and Behavioral Sciences | Year: 2010
This study investigates the relationships between mathematics anxiety, attitudes toward mathematics and mathematical thinking among university students. A 60-item questionnaire included mathematical thinking rating scale, mathematics anxiety rating scale and mathematics attitudes rating scale completed by 203 university students from the Faculty of Science, Engineering, Food Science, and Human Ecology in one of the public university in Malaysia. The correlation analysis was used to establish relationship between mathematical thinking, mathematics attitude, and mathematics anxiety and independent t-test was used to investigate differences between the two gender groups and two race groups on their mathematics anxiety, attitudes toward mathematics and mathematical thinking. The results indicated that a significant high positive correlation exists between mathematical thinking and mathematics attitude (r=.856, p<0.05). Also there was negative moderate correlation between mathematical thinking and mathematics anxiety (r=.-576, p<0.05). There was also negative correlation between mathematics anxiety and mathematics attitude (r=.509, p<0.05). In conclusion, these findings indicated that level of mathematics anxiety is related to mathematical thinking and mathematics attitude. On the other hand, students' backgrounds in terms of their majors have no effect on the three constructs. © 2010 Published by Elsevier Ltd.