Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Meng-wei Guo"'
Autor:
QIAN Meng-wei , GUO Yi
Publikováno v:
Jisuanji kexue, Vol 48, Iss 9, Pp 103-109 (2021)
Since traditional matrix factorization algorithms are mostly based on shallow linear models,it is difficult to learn latent factors of users and items at a deep level.When the dataset is sparse,it is inclined to overfitting.To deal with the problem,t
Externí odkaz:
https://doaj.org/article/79fabd81c6f94f03855dcf67682a7289
Publikováno v:
IEEE Access, Vol 8, Pp 144665-144692 (2020)
Henry Gas Solubility Optimization Algorithm (HGSO) is a physical-based algorithm based on Henry's Law and simulates the process that the solubility of gas in liquid changes with temperature. The search strategy of the HGSO is very simple, which resul
Externí odkaz:
https://doaj.org/article/edee898e338547de842237ac64b29530
Publikováno v:
Transactions of Nonferrous Metals Society of China. 33:539-552
Autor:
Meng-Wei Guo1 1095536443@qq.com, Dong Wei2 asweidong@126.com, Jie-Sheng Wang2,3 wang_jiesheng@126.com, Xiao-Xu Ma1 122270462@qq.com
Publikováno v:
Engineering Letters. Dec2020, Vol. 28 Issue 4, p1182-1190. 9p.
Publikováno v:
Complexity, Vol 2020 (2020)
Soft-sensor technology plays a vital role in tracking and monitoring the key production indicators of the grinding and classifying process. Least squares support vector machine (LSSVM), as a soft-sensor model with strong generalization ability, can b
Externí odkaz:
https://doaj.org/article/59410bfab91349c0b525bb8e673c36e9
Autor:
Meng-Wei Guo1 1095536443@qq.com, Jie-Sheng Wang2,3 wang_jiesheng@126.com, Xue Yang1 122270462@qq.com
Publikováno v:
Engineering Letters. Jun2020, Vol. 28 Issue 2, p337-342. 6p.
Publikováno v:
IEEE Transactions on Industrial Informatics. 17:5325-5334
Long and short-term memory (LSTM) has been used in soft-sensor modeling of industrial processes in recent years. However, LSTM still has many defects for soft-sensor. This article proposes a variational autoencoder bidirectional LSTM soft-sensor mode
Publikováno v:
Applied Intelligence. 52:2369-2410
Self-learning Antelopes Migration Algorithm (SAMA) is a self-heuristic algorithm that simulates the local exploitation of ordinary antelopes and the global exploration of scout antelopes. Aiming at the imbalance between exploitation and exploration o
Autor:
Jia-Lin Li, Jie-Dan Mu, Xu Qian, Jun-Xiang Wang, Meng-Wei Guo, Yuan Tian, Xiao-Xuan Ren, Ying-Ying Gan, Wen-Yan Yu, Yue Song, Liang-Xiao Ma, Tian-Yi Sun
Publikováno v:
Neuroreport
Waggle needling, a classical anti-spastic needling technique characterized by combination of acupuncture with joint movement, has gained increasing popularity of spasticity treatment in China. This study was designed to compare the anti-spastic effec
Publikováno v:
IEEE Access, Vol 8, Pp 22094-22126 (2020)
Ant Lion Optimizer (ALO) is a new meta-heuristic algorithm that simulates the ant lion predator mechanism in nature. Five main steps of hunting include: random walks of ants, building traps, trapping in antlion’s pits, sliding ants towards antlion,