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of 9
pro vyhledávání: '"Wenjiang Song"'
Publikováno v:
Journal of Biological Engineering, Vol 11, Iss 1, Pp 1-14 (2017)
Abstract Background In the yeast Saccharomyces cerevisiae, as in every eukaryotic organism, the mRNA 5′-untranslated region (UTR) is important for translation initiation. However, the patterns and mechanisms that determine the efficiency with which
Externí odkaz:
https://doaj.org/article/fd3bf1cc3c6e4a56bc24ced74d87974f
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:40-51
Inferential modeling has been of significance for modern manufacturing in estimating the quality-related process variables. As an effective inferential model, probabilistic slow feature analysis (PSFA) has gained attention in regression tasks to inte
Publikováno v:
IEEE Transactions on Evolutionary Computation. 26:58-72
In many real-world optimization applications, a goal solution (i.e., scenario) is often provided by a user according to his/her experience. Due to the presence of a wide range of uncertainties, one may be interested in identifying the robustness inte
Publikováno v:
Complex & Intelligent Systems. 8:1259-1280
It is a great challenge for ordinary evolutionary algorithms (EAs) to tackle large-scale global optimization (LSGO) problems which involve over hundreds or thousands of decision variables. In this paper, we propose an improved weighted optimization a
Publikováno v:
Industrial & Engineering Chemistry Research. 60:3617-3632
Hybrid modeling, aiming to integrate the advantages of both first-principles models and data-driven models, is an important technology for refinery process simulation and optimization. The commonly...
Publikováno v:
Industrial & Engineering Chemistry Research. 59:3077-3090
In the refinery process, a vast amount of data is generated in daily production. How to make full use of these data to improve the simulation’s accuracy is crucial to enhancing the refinery operating level. In this paper, a novel deep learning fram
Publikováno v:
Journal of Biological Engineering. 12/16/2016, Vol. 10, p1-13. 13p.
Publikováno v:
Swarm and Evolutionary Computation. 59:100741
A large number of multi-objective evolutionary algorithms (MOEAs) have been proposed for the past two decades. However, few papers focus on the study of reproduction operator in MOEAs. In this work, we propose a novel path-based reproduction operator
Supplementary Material. (PDF 494 kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59d18b49212a9364a7e310f9c5fe2d0d