云南高校图书馆联盟文献共享服务平台- DECISION

检索规则说明：AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：范例一： (K=图书馆学 OR K=情报学) AND A=范并思　　　　范例二：J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual

全部期刊核心期刊 EI来源期刊 SCI来源期刊 CA来源期刊 CSCD来源期刊 CSSCI来源期刊

Clastic facies classification using machine learning-based algorithms: A case study from Rawat Basin, Sudan: 《Energy Geoscience》2025年第1期7-23,共17页Anas Mohamed Abaker Babai Olugbenga Ajayi Ehinola Omer.I.M.Fadul Abul Gebbayin Mohammed Abdalla Elsharif Ibrahim; Machine learning techniques and a dataset of five wells from the Rawat oilfield in Sudan containing 93,925 samples per feature(seven well logs and one facies log)were used to classify four facies.Data preprocessing an...; 关键词：Machine learning Facies classification Gradient Boosting(GB) Support Vector Classifier(SVC) Random Forest(RF) Decision Tree(DT)

Evaluation of underground hard rock mine pillar stability using gene expression programming and decision tree-support vector machine models: 《Deep Underground Science and Engineering》2025年第1期18-34,共17页Mohammad H.Kadkhodaei Ebrahim Ghasemi Jian Zhou Melika Zahraei; Assessing the stability of pillars in underground mines(especially in deep underground mines)is a critical concern during both the design and the operational phases of a project.This study mainly focuses on developing...; 关键词：decision tree-support vector machine(DT-SVM) gene expression programming(GEP) hard rock pillar stability underground mining

XGBoost-Based Power Grid Fault Prediction with Feature Enhancement: Application to Meteorology: 《Computers, Materials & Continua》2025年第2期2893-2908,共16页Kai Liu Meizhao Liu Ming Tang Chen Zhang Junwu Zhu; supported by the Science and Technology Project of State Grid Jiangsu Electric Power Co.,Ltd.(Research on Power Meteorology Digitalization Application for Future Climate Scenarios and New Energy Operation Risks,J2023076).; The prediction of power grid faults based on meteorological factors is of great significance to reduce economic losses caused by power grid faults. However, the existing methods fail to effectively extract key feature...; 关键词：Meteorological factors gradient boosting decision tree sparrow search algorithm XGBoost

基于区间Ⅱ型FNN的MSWI过程炉膛温度控制: 《北京工业大学学报》2025年第2期157-172,共16页汤健田昊夏恒乔俊飞; 科技创新2030重大项目(2021ZD0112301,2021ZD0112302)。; 针对城市固废焚烧(municipal solid waste incineration,MSWI)过程的炉膛温度难以实现有效控制的问题,提出基于区间Ⅱ型模糊神经网络(interval type-Ⅱfuzzy neural network,IT2FNN)的炉膛温度控制方法。首先,进行炉膛温度控制特性分析...; 关键词：城市固废焚烧(municipal solid waste incineration MSWI) 炉膛温度控制线性回归决策树(linear regression decision tree LRDT) 区间Ⅱ型模糊神经网络(interval type-Ⅱfuzzy neural network IT2FNN) 梯度下降法李雅普诺夫稳定性分析

Evaluations of Machine Learning Algorithms Using Simulation Study: 《Open Journal of Statistics》2025年第1期41-52,共12页Nasrin Khatun; 1st cases of COVID-19 were reported in March 2020 in Bangladesh and rapidly increased daily. So many steps were taken by the Bangladesh government to reduce the outbreak of COVID-19, such as masks, gatherings, local m...; 关键词：Linear Regression K-Nearest Neighbours Decision Tree Random Forest Support Vector Machine Hyper-Tuning

Impacts of characteristics of service facilities in metro station area on housing prices: 《International Journal of Transportation Science and Technology》2024年第4期212-221,共10页Minqing Zhu Chengwang Zhou Yizhe Yang Hongjun Cui Xinwei Ma; the sponsorship from the National Natural Science Foundation of China(No.52172304);the Social Science Foundation of Hebei Province(No.HB22YJ040);the Colleges and Universities in Hebei Province Science and Technology Research Project(No.ZD2022123)。; Transit-oriented development is extensively employed for the development of metro stations.Service facilities are key components of the regional built environment of metro stations,and the arrangement and design of th...; 关键词：Metro station area Public service facilities Housing prices Gradient boosting decision tree Urban China

Real-world validation of safe reinforcement learning,model predictive control and decision tree-based home energy management systems: 《Energy and AI》2024年第4期470-488,共19页Julian Ruddick Glenn Ceusters Gilles Van Kriekinge Evgenii Genov Cedric De Cauwer Thierry Coosemans Maarten Messagie; supported by the ECOFLEX project funded by FOD Economie,K.M.O.,Middenstand en Energie,by the ICON project OPTIMESH(FLUX50 ICON Project Collaboration Agreement-HBC.2021.0395)funded by VLAIO;by the Baekeland project SLIMness(HBC.2019.2613)funded by ABB n.v.and VLAIO in equal parts.; Recent advancements in machine learning based energy management approaches,specifically reinforcement learning with a safety layer(OptLayerPolicy)and a metaheuristic algorithm generating a decision tree control policy...; 关键词：Energy management system Machine learning Reinforcement learning Decision tree Model predictive control HARDWARE-IN-THE-LOOP Implementation Experimental

Consistency preserving database watermarking algorithm for decision trees: 《Digital Communications and Networks》2024年第6期1851-1863,共13页Qianwen Li Xiang Wang Qingqi Pei Xiaohua Chen Kwok-Yan Lam; supported by the National Key Research and Development Program of China under Grant 2021YFB2700600;the National Natural Science Foundation of China under Grant 62132013 and 61902292;the Key Research and Development Programs of Shaanxi under Grants 2021ZDLGY06-03;the Truth-Seeking Research Scholarship Fund of Xidian University。; Database watermarking technologies provide an effective solution to data security problems by embedding the watermark in the database to prove copyright or trace the source of data leakage.However,when the watermarked...; 关键词：Consistency preserving Decision tree Database watermarking Data mining

Identification of Cardiovascular Disease via Diverse Machine Learning Methods: 《Journal of Computer and Communications》2024年第12期134-150,共17页Araf Islam Mohammad Abu Saleh Afia Fairooz Tasnim Md. Samiun Syeda Kamari Noor Kanchon Kumar Bishnu; Over the past ten years, there has been an increase in cardiovascular disease, one of the most dangerous types of disease. However, cardiovascular detection is a technique that analyzes data and precisely diagnoses ca...; 关键词：Decision Tree Logistic Regression Random Forest PREPROCESSING Machine Learning ACCURACY

Application of Exponential Distribution in Modeling of State Holding Time in HIV/AIDS Transition Dynamics: 《Open Journal of Modelling and Simulation》2024年第4期159-183,共25页Nahashon Mwirigi; Markov modeling of HIV/AIDS progression was done under the assumption that the state holding time (waiting time) had a constant hazard. This paper discusses the properties of the hazard function of the Exponential dis...; 关键词：Markov Chain Markov Process Semi Markov Process Markov Decision Tree Stochastic Process Survival Rate CD4+ Levels Absorption Rates AFT Model PH Model

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

DECISION_TREE

检索结果分析

下载全文

高级检索检索式检索

时间限定

期刊范围

学科限定全选

高级检索 检索式检索

时间限定

期刊范围

学科限定全选

DECISION_TREE

检索结果分析

下载全文

用户登录

高级检索检索式检索