J
Jeng-Shyang Pan
Researcher at Shandong University of Science and Technology
Publications - 889
Citations - 14887
Jeng-Shyang Pan is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Digital watermarking & Computer science. The author has an hindex of 50, co-authored 789 publications receiving 11645 citations. Previous affiliations of Jeng-Shyang Pan include National Kaohsiung Normal University & Technical University of Ostrava.
Papers
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Journal Article
An Efficient Differential Evolution Via Both Top Collective and p-Best Information
TL;DR: Experimental results show that CIpBDE outperforms the seven state-of-the-art DE variants in terms of classification accuracy and improved parameter adaptation strategy to adaptability to adjust the parameters crossover probability and scale factor value in each generation.
Proceedings ArticleDOI
The QUATRE structure: An efficient approach to tackling the structure bias in Differential Evolution
TL;DR: This paper first presents the reason why an exploration bias is still existing in the binomial crossover, and then presents a novel QUATRE structure to tackle this bias, and the experiment results show its superiority.
Proceedings ArticleDOI
Statistical Based Waveform Classification for Cloud Intrusion Detection
TL;DR: This paper proposes a cloud intrusion detection with a new statistical waveform based classification that records network connections over a period of time to form a waveform, and then computes the suspicious characteristics of the waveform.
Journal ArticleDOI
A novel Fruit Fly Optimization Algorithm with quasi-affine transformation evolutionary for numerical optimization and application
TL;DR: It is confirmed that Quasi-affine Transformation evolutionary for the Fruit fly Optimization Algorithm can achieve better vehicle routes planning and is compared with the contrast algorithms to prove its effectiveness.
Book ChapterDOI
Study of PSO Optimized BP Neural Network and Smith Predictor for MOCVD Temperature Control in 7 nm 5G Chip Process
Kuo-Chi Chang,Yu-Wen Zhou,Hsiao-Chuan Wang,Yuh-Chung Lin,Kai-Chun Chu,Tsui-Lien Hsu,Jeng-Shyang Pan +6 more
TL;DR: In this article, the authors proposed PID controller of PSO and BP neural network algorithm to improve the control ability of MOCVD temperature, which has better dynamic performance, and the value from 150 to 500 s is stable from 0 to 1 no vibration, any overshoot and short adjustment time, ideal control.