云南高校图书馆联盟文献共享服务平台- C-MEANS

C-MEANS: 作品数：45被引量：97H指数：5; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：刘建张腾飞于洋马福民陈旭东更多>>; 相关机构：武汉理工大学南京邮电大学电子科技大学南京理工大学更多>>; 相关期刊：《中文科技期刊数据库（全文版）自然科学》《Journal of Iron and Steel Research International》《软件导刊》《重庆师范大学学报（自然科学版）》更多>>; 相关基金：国家自然科学基金江苏省自然科学基金国家高技术研究发展计划上海市科学技术委员会资助项目更多>>

基于BP神经网络和C-Means聚类算法的水下导航适配区分类预测: 《中文科技期刊数据库（全文版）自然科学》2024年第6期0107-0112,共6页孙逸诺舒洪博赵可欣王佳峻蒋栾坤; 在国家明确强调“海洋强国”战略部署的时代背景下,适配区分类预测技术是解决水下导航与定位问题的核心技术。因此,研发基于重力异常数据的水下导航适配区分类预测模型,对于提高导航可靠性与精准度具有关键性的技术意义。本文针对不同...; 关键词：三次样条插值法 C-MEANS 聚类算法 BP 神经网络模型分类预测

A weighted fuzzy C-means clustering method for hardness prediction: 《Journal of Iron and Steel Research International》2023年第1期176-191,共16页Yuan Liu Shi-zhong Wei; supported by the National Research and Development Project of China (2020YFB2008400).; The hardness prediction model was established by support vector regression(SVR).In order to avoid exaggerating the contribution of very tiny alloying elements,a weighted fuzzy C-means(WFCM)algorithm was proposed for d...; 关键词：Hardness prediction Weighted fuzzy C-means algorithm Feature selection Particle swarm optimization Support vector regression Dispersion reduction

A Novel Unsupervised Change Detection Method with Structure Consistency and GFLICM Based on UAV Images被引量：5: 《Journal of Geodesy and Geoinformation Science》2022年第1期91-102,共12页Wensong LIU Xinyuan JI Jie LIU Fengcheng GUO Zongqiao YU; National Natural Science Foundation of China(No.62101219);Natural Science Foundation of Jiangsu Province(Nos.BK20201026,BK20210921);Science Foundation of Jiangsu Normal University(No.19XSRX006);Open Research Fund of Jiangsu Key Laboratory of Resources and Environmental Information Engineering(No.JS202107)。; With the rapid development of Unmanned Aerial Vehicle(UAV)technology,change detection methods based on UAV images have been extensively studied.However,the imaging of UAV sensors is susceptible to environmental interf...; 关键词：change detection UAV images graph model structural consistency Generalized Fuzzy Local Information C-means Clustering Model(GFLICM)

基于C-means和FCM的侧扫声呐图像分割方法研究被引量：2: 《舰船电子工程》2021年第11期96-100,177,共6页田万平林嘉; 研究了C-means和FCM两种聚类分割算法对侧扫声呐图像的应用,其中FCM在C-means的基础上引入了隶属度的模糊概念,增加了计算量的同时分割精度有很大提升。同时,对比分析两类分割图像和聚类标准的收敛性曲线。实验结果表明,对C-means、FCM...; 关键词：侧扫声呐 C-MEANS FCM 图像分割

基于2型模糊集的粗糙模糊C-means算法: 《成都信息工程大学学报》2020年第4期406-411,共6页鲍杨婉莹蒋瑜李冬; 四川省教育厅重点资助项目(20177032)。; 聚类算法在图像处理、模式识别等领域有广泛应用,粗糙模糊C-means算法是近年来研究较多的聚类算法。在面对聚类结构不同的样本时,传统的粗糙模糊C-means算法存在聚类簇心偏向性和隶属度选取的问题,使聚类结果不理想。提出一种基于②型...; 关键词：聚类粗糙集 2型模糊集粗糙模糊C-means

基于深度学习的英语单词学习系统应用研究被引量：3: 《电脑编程技巧与维护》2020年第2期133-134,147,共3页茹韶燕邓金钉张志威钟洁仪陈国雄谭志坚; 如今关于英语四六级复习、模拟考、记单词的资料特别多,记忆单词的软件也琳琅满目,但此类软件记忆效果不明显,针对这种问题,提出了快节奏、高效单词记忆新概念学习方式。在帮助用户记忆单词的同时,结合该用户的兴趣和职业,帮助用户快速...; 关键词：NLP技术 C-means技术 Slope one技术快节奏兴趣

Pedestrian perception-based level-of-service model at signalized intersection crosswalks被引量：1: 《Journal of Modern Transportation》2019年第4期266-281,共16页S.Marisamynathan P.Vedagiri; Pedestrian level of service(PLOS)is an important measure of performance in the analysis of existing pedestrian crosswalk conditions.Many researchers have developed PLOS models based on pedestrian delay,turning vehicle...; 关键词：PEDESTRIAN Signalized INTERSECTION LEVEL of service FUZZY regression FUZZY C-MEANS

Different Feature Selection of Soil Attributes Influenced Clustering Performance on Soil Datasets被引量：1: 《International Journal of Geosciences》2019年第10期919-929,共11页Jiaogen Zhou Yang Wang; Feature selection is very important to obtain meaningful and interpretive clustering results from a clustering analysis. In the application of soil data clustering, there is a lack of good understanding of the respons...; 关键词：FEATURE Selection K-MEANS CLUSTERING Fuzzy C-MEANS CLUSTERING Spectral CLUSTERING SOIL Attributes

Soil pore identification with the adaptive fuzzy C-means method based on computed tomography images被引量：5: 《Journal of Forestry Research》2019年第3期1043-1052,共10页Yue Zhao Qiaoling Han Yandong Zhao Jinhao Liu; supported by the National Natural Science Youth Foundation of China(No.41501283);the Fundamental Research Funds for the Central Universities(2015ZCQGX-04); The complex geometry and topology of soil is widely recognised as the key driver in many ecological processes. X-ray computed tomography (CT) provides insight into the internal structure of soil pores automatically an...; 关键词：CT soil IMAGES FUZZY C-MEANS FUZZY clustering theory PORE IDENTIFICATION rule

基于并行Apriori的物流路径频繁模式研究被引量：6: 《计算机工程与应用》2019年第11期257-264,共8页曹菁菁任欣欣徐贤浩; 国家自然科学基金重点国际(地区)合作与交流项目(No.71620107002);国家自然科学基金青年项目(No.61502360); 传统的频繁路径挖掘分析主要通过关联规则算法实现,但其在处理大型数据集时,会产生占用内存过多,数据处理速度慢等问题,对此提出一种基于Fuzzy c-means聚类算法的并行Apriori算法模型。该模型通过Fuzzy c-means算法完成对原始数据集的...; 关键词：大数据频繁路径 HADOOP FUZZY c-means聚类算法 APRIORI算法

C-MEANS