The International Arab Journal of Information Technology (IAJIT)

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Parameter Optimization of Single Sample Virtually Expanded Method

Aiming at single sample experiment of sample number n=1, the relationship of parameters virtually expanded from n=1 to n=13 is derived in this paper,and the big-samples data are gained by Bootstrap method. Instead of existing methods, a developing particle swarm optimization based on Minimax is put forward. With the application of this method in the parameter optimization, the lower confidence limit approaches the lower confidence limit of the Semiempirical Evaluation Method with more rapid speed and higher precision. In this way, the most suitable augmented parameters virtually expanded from n=1 to n=13 are gained, which provides a better virtual augment method for the sample augment from n=1 to n=13.


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[20] Zhang Y., Wang S., and Ji G., “A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications,” Mathematical Problems in Engineering, vol. 2015, no. 1, pp. 1-38, 2015. Xiaoxia Zhao is a PhD student in School of Mechanical Engineering, Taiyuan University of Science and Technology, Shanxi, China. She received her master degree from Taiyuan University of Science and Technology in 2015, Shanxi, China. Her research interests include intelligence algorithms, continuous conveyor, bulk material. Wenjun Meng is a professor in Faculty of Mechanical Engineering, Taiyuan University of Science and Technology, Shanxi, China. At the same time, he is a vice-president in Shanxi Institute of Energy, Shanxi, China. He received his doctoral degree from Beihang University in 2005, Beijing, China. His research interests include intelligence algorithms, continuous conveyor, bulk material and artificial intelligence. Jinhu Su is a PhD student in Faculty of Mechanical Engineering, Taiyuan University of Science and Technology, Shanxi, China. He received his master degree from Taiyuan University of Science and Technology in 2011, Shanxi, China. His research interests include intelligence algorithms, continuous conveyor, bulk material. Yuxuan Chen is an engineer in North China Municipal Engineering Design & Research Institute Co. Ltd., Tianjin, China. She received her master degree from Taiyuan University of Science and Technology in 2015, Shanxi, China. Her research interests include intelligence algorithms, lifting and transportation machinery, bulk material.