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检索条件"主题词=combination algorithm"
41 条 记 录,以下是21-30 订阅
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Accuracy of the Enhanced Liver Fibrosis test, and combination of the Enhanced Liver Fibrosis and non-invasive tests for the diagnosis of advanced liver fibrosis in patients with non-alcoholic fatty liver disease
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HEPATOLOGY RESEARCH 2020年 第6期50卷 682-692页
作者: Inadomi, Chika Takahashi, Hirokazu Ogawa, Yuji Oeda, Satoshi Imajo, Kento Kubotsu, Yoshihito Tanaka, Kenichi Kessoku, Takaomi Okada, Michiaki Isoda, Hiroshi Akiyama, Takumi Fukushima, Hideaki Yoneda, Masato Anzai, Keizo Aishima, Shinichi Nakajima, Atsushi Eguchi, Yuichiro Saga Univ Fac Med Div Metab & Endocrinol 5-1-1 Nabeshima Saga 8498501 Japan Saga Univ Fac Med Dept Pathol & Microbiol Saga Japan Saga Univ Hosp Liver Ctr Saga Japan Saga Univ Hosp Dept Clin Lab Med Saga Japan Yokohama City Univ Dept Gastroenterol & Hepatol Grad Sch Med Yokohama Kanagawa Japan Siemens Healthcare Diagnost KK Diagnost Business Area Tokyo Japan
Aim The Enhanced Liver Fibrosis (ELF) test comprises a logarithmic algorithm combining three serum markers of hepatic extracellular matrix metabolism. We aimed to evaluate the performance of ELF for the diagnosis of l... 详细信息
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Combining the outputs of various k-nearest neighbor anomaly detectors to form a robust ensemble model for high-dimensional geochemical anomaly detection
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JOURNAL OF GEOCHEMICAL EXPLORATION 2021年 231卷 106875-106875页
作者: Chen, Yongliang Zhao, Qingying Lu, Laijun Jilin Univ Coll Earth Sci Changchun 130061 Jilin Peoples R China
Machine learning techniques provide useful methods for high-dimensional geochemical anomaly detection for mineral exploration targeting. However, the instability of the machine learning models often leads to the uncer... 详细信息
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A Method of Automatic Test Case Generation Based on CT-LSSVM algorithm in FAO Systems  5
A Method of Automatic Test Case Generation Based on CT-LSSVM...
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IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE)
作者: Wang, Sha Shang, Qingyuan Ling, Zhujun Liu, Dandan Chen, Xiangxian UniTTEC Co Ltd Hangzhou Peoples R China Zhejiang Univ Dept Instrumentat Sci & Engn Hangzhou Peoples R China
The FAO system is a new-generation railway signaling system, the comprehensive and accurate testing is the main means to verify the safety and stability of the system, and the design and generation of test cases is an... 详细信息
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Base Model combination algorithm for Resolving Tied Predictions for K-Nearest Neighbor OVA Ensemble Models
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INFORMS JOURNAL ON COMPUTING 2013年 第3期25卷 517-526页
作者: Lutu, Patricia E. N. Engelbrecht, Andries P. Univ Pretoria Dept Comp Sci ZA-0002 Pretoria South Africa
Model aggregation is the process of constructing several base models that are then combined into a single model for prediction. Ensemble classification has been studied by many researchers and found to provide signifi... 详细信息
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A multiscale direct solver for the approximation of flows in high contrast porous media
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JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 2019年 359卷 88-101页
作者: Akbari, Hani Engsig-Karup, Allan P. Ginting, Victor Pereira, Felipe Univ Melbourne Dept Infrastruct Engn Parkville Vic Australia Tech Univ Denmark CERE Dept Appl Math & Comp Sci Lyngby Denmark Univ Wyoming Dept Math & Stat Laramie WY 82071 USA Univ Texas Dallas Dept Math Sci Richardson TX 75083 USA
We consider a non-overlapping domain decomposition approach to approximate the solution of elliptic boundary value problems with high contrast in their coefficients. We propose a method such that initially local solut... 详细信息
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Short-term Wind Speed Combined Prediction Model Based on ARIMA-GARCH and Elman
Short-term Wind Speed Combined Prediction Model Based on ARI...
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Image Processing, Electronics and Computers (IPEC), Asia-Pacific Conference on
作者: Hanjie Xiao Honglei Tang Jianhua Zhou Business School Huzhou University Huzhou China
In order to effectively improve the prediction accuracy, short-term wind speed combination prediction model based on ARIMA-GARCH and Elman is proposed. It adopts ARIMA model to linearly predict short-term wind speed a... 详细信息
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Summary of Wind Speed Time Series Prediction algorithms
Summary of Wind Speed Time Series Prediction Algorithms
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作者: Xian-hui ZHU Nan SHI Xun-wen SU Pin LV Yue YU School of Electrical and Control Engineering Heilongjiang University of Science and Technology
Accurate prediction of wind speed is an important prerequisite for wind power *** hackle the large number of wind prediction outcomes in recent years,based on simple discussion of the wind power generation principle,w... 详细信息
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Wind Speed Forecasting Based on Fuzzy-neural Network combination Method  27
Wind Speed Forecasting Based on Fuzzy-neural Network Combina...
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27th Chinese Control and Decision Conference (CCDC)
作者: Li, Shanzhi Wang, Haoping Tian, Yang Shen, Yanyan Aitouche, Abdel Nanjing Univ Sci & Technol Automat Sch Sino French Int J Lab Automat Control & Signal Pr Nanjing 210094 Jiangsu Peoples R China Univ Lille Nord France HEI LaFCAS F-59600 Lille France Univ Lille Nord France HEI LAGIS Labs F-59600 Lille France
Wind speed forecasting is significant for power system operation. Accuracy and rapidity are essential requirements. This paper is proposed a combination method based on a fuzzy neural network. The combination weight o... 详细信息
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A combination algorithm for Image Denoising and Deblurring
A Combination Algorithm for Image Denoising and Deblurring
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6th International Conference on Wireless Communications, Networking and Mobile Computing (WICOM)
作者: Xu, Yiping Chen, Hanlin Zheng, Kelong SW Univ Sci & Technol Sch Sci Mianyang Sichuan Peoples R China
In this paper, we propose an efficient combination algorithm of split Bregman method, algebraic multigrid method and Krylov acceleration method for image denoising and deblurring. The split Bregman method is used to c... 详细信息
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Wind Speed Forecasting Based on Fuzzy-neural Network combination Method
Wind Speed Forecasting Based on Fuzzy-neural Network Combina...
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第27届中国控制与决策会议
作者: Shanzhi LI Haoping WANG Yang TIAN Yanyan SHEN Abdel AITOUCHE Sino-French Int.J.Laboratory of Automatic Control and Signal Processing(LaFCAS) Automation SchoolNanjing University of Science & Technology LaFCAS and LAGIS Laboratories HEIUniversity Lille Nord de France
Wind speed forecasting is significant for power system *** and rapidity are essential *** paper is proposed a combination method based on a fuzzy neural *** combination weight of the proposed hybrid model which combin... 详细信息
来源: 评论