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| 1 | A soft sensor for industrial melt index prediction based on evolutionary extreme learning machine显示文摘In propylene polymerization(PP) process, the melt index(MI) is one of the most important quality variables for determining different brands of products and different grades of product quality. Accurate prediction of MI is essential for efficient and professional monitoring and control of practical PP processes. This paper presents a novel soft sensor based on extreme learning machine(ELM) and modified gravitational search algorithm(MGSA) to estimate MI from real PP process variables, where the MGSA algorithm is developed to find the best parameters of input weights and hidden biases for ELM. As the comparative basis, the models of ELM, APSO-ELM and GSAELM are also developed respectively. Based on the data from a real PP production plant, a detailed comparison of the models is carried out. The research results show the accuracy and universality of the proposed model and it can be a powerful tool for online MI prediction. | Miao Zhang Xinggao Liu Zeyin Zhang | 2016 | Chinese Journal of Chemical Engineering2016，24，8： | 6 |
| 2 | Asymptotic Behavior of Gibbs Functions for M-Band Wavelet Expansions | Daren Huang Zeyin Zhang, Center for Mathematical Sciences, Zhejiang University, Hangzhou 310027, P. R. China | 1999 | Acta Mathematica Sinica,English Series1999，15，2： | 3 |
| 3 | ON PARAMETRIC FACTORIZATION OF BI-ORTHOGONAL LAURENT POLYNOMIAL WAVELET FILTERS显示文摘In this paper,we study the factorization of bi-orthogonal Laurent polynomial wavelet matrices with degree one into simple blocks.A conjecture about advanced factorization is given. | Bi Ning Huang Daren and Zhang Zeyin (Zhejiang University, China) | 2002 | Approximation Theory and Its Applications2002，18，2： | 0 |
| 4 | ON PARAMETRIC FACTORIZATION OF BI-ORTHOGONAL LAURENT POLYNOMIAL WAVELET FILTERS显示文摘In this paper, we study the factorization of bi-orthogonal Laurent polynomial wavelet matrices with degree one into simple blocks. A conjecture about advanced factorization is given. | Hu Junquan Huang Daren Zhang Zeyin (Zhejiang University, China) | 2002 | Approximation Theory and Its Applications2002，18，4： | 0 |
| 5 | WAVELET TECHNIQUE RECOVERING IMAGE BLURRED BY MIXED GAUSSIAN AND SALT-PEPPER NOISE显示文摘In this paper, we propose a new method to removing the mixed Gaussian and salt-pepper noise based on wavelet. To estimate outlier, A scheme called max-min method is adopted after DWT. Experimental results show that this method is more effective than common image restoration methods, such as Median filter, center weighted median filter. | Hu Junquan, Huang Daren, Wang Zhenwu and Zhang Zeyin (Zhejiang University,China) Department of Mathematics Zhejiang University Hangzhou 310027 P.R.China | 2003 | Analysis in Theory and Applications2003，19，2： | 0 |
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