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Parameter Optimization of Interval Type-2 Fuzzy Neural Networks Based on PSO and BBBC Methods 预览
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作者 Jiajun Wang Tufan Kumbasar 《自动化学报:英文版》 CSCD 2019年第1期247-257,共11页
Interval type-2 fuzzy neural networks(IT2FNNs)can be seen as the hybridization of interval type-2 fuzzy systems(IT2FSs) and neural networks(NNs). Thus, they naturally inherit the merits of both IT2 FSs and NNs. Althou... Interval type-2 fuzzy neural networks(IT2FNNs)can be seen as the hybridization of interval type-2 fuzzy systems(IT2FSs) and neural networks(NNs). Thus, they naturally inherit the merits of both IT2 FSs and NNs. Although IT2 FNNs have more advantages in processing uncertain, incomplete, or imprecise information compared to their type-1 counterparts, a large number of parameters need to be tuned in the IT2 FNNs,which increases the difficulties of their design. In this paper,big bang-big crunch(BBBC) optimization and particle swarm optimization(PSO) are applied in the parameter optimization for Takagi-Sugeno-Kang(TSK) type IT2 FNNs. The employment of the BBBC and PSO strategies can eliminate the need of backpropagation computation. The computing problem is converted to a simple feed-forward IT2 FNNs learning. The adoption of the BBBC or the PSO will not only simplify the design of the IT2 FNNs, but will also increase identification accuracy when compared with present methods. The proposed optimization based strategies are tested with three types of interval type-2 fuzzy membership functions(IT2FMFs) and deployed on three typical identification models. Simulation results certify the effectiveness of the proposed parameter optimization methods for the IT2 FNNs. 展开更多
关键词 BIG bang-big crunch (BBBC) INTERVAL type-2 fuzzy NEURAL networks (IT2FNNs) parameter OPTIMIZATION particle SWARM OPTIMIZATION (PSO)
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‘Wonderful Night of Museum’Hopefully Becoming Normal in Shanghai 预览
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作者 Li Ting 《中外文化交流:英文版》 2019年第8期38-39,共2页
It is promising that museums in Shanghai are to open to the public at night on a regular basis.But it should be based on the actual understanding of audience demands and steady support by investigation.The big data fr... It is promising that museums in Shanghai are to open to the public at night on a regular basis.But it should be based on the actual understanding of audience demands and steady support by investigation.The big data from the pilot project is to provide a basis for further promotion. 展开更多
关键词 MUSEUMS PILOT project BIG data
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Joe's Favorite Butt on
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作者 Rhea Ashmore 《小学生时代:英文版》 2019年第3期10-17,共8页
Hi Big Mouth English readers! Button is an interesting word. It can be a thing: The button on the doorbell is broken. It can be an action: Butt on your coat! This story is about buttons that are things. Read to find o... Hi Big Mouth English readers! Button is an interesting word. It can be a thing: The button on the doorbell is broken. It can be an action: Butt on your coat! This story is about buttons that are things. Read to find out about Joe' s favorite button. 展开更多
关键词 BIG MOUTH English INTERESTING word FAVORITE button
Small Town,Big Dream 预览
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作者 ZHANG XIAO 《今日中国:英文版》 2019年第2期47-49,共3页
THE small town of Zhili in Huzhou,east China’sZhejiang Province, has a population of450,000 living within an area of 25 square kilometers. Lying on the south of Taihu Lake is the Shoulder Pole Street, which once was ... THE small town of Zhili in Huzhou,east China’sZhejiang Province, has a population of450,000 living within an area of 25 square kilometers. Lying on the south of Taihu Lake is the Shoulder Pole Street, which once was a street with an area of 0.58 square kilometers. Today that street has developed into the larg-est children’s clothing industry cluster in China, and transformed Zhili from a once utterly backward town into a promising center of industry. 展开更多
关键词 SMALL TOWN BIG DREAM
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Identify crystal structures by a new paradigm based on graph theory for building materials big data
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作者 Mouyi Weng Zhi Wang +5 位作者 Guoyu Qian Yaokun Ye Zhefeng Chen Xin Chen Shisheng Zheng Feng Pan 《中国科学:化学英文版》 SCIE EI CAS CSCD 2019年第8期982-986,共5页
Material identification technique is crucial to the development of structure chemistry and materials genome project. Current methods are promising candidates to identify structures effectively, but have limited abilit... Material identification technique is crucial to the development of structure chemistry and materials genome project. Current methods are promising candidates to identify structures effectively, but have limited ability to deal with all structures accurately and automatically in the big materials database because different material resources and various measurement errors lead to variation of bond length and bond angle. To address this issue, we propose a new paradigm based on graph theory(GTscheme) to improve the efficiency and accuracy of material identification, which focuses on processing the "topological relationship" rather than the value of bond length and bond angle among different structures. By using this method, automatic deduplication for big materials database is achieved for the first time, which identifies 626,772 unique structures from 865,458 original structures.Moreover, the graph theory scheme has been modified to solve some advanced problems such as identifying highly distorted structures, distinguishing structures with strong similarity and classifying complex crystal structures in materials big data. 展开更多
关键词 structures identification GRAPH theory big data TOPOLOGICAL relationship materials DATABASE
Big FANG理论,谁的广告支出增加了?
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作者 Bradley Johnson 《现代广告》 2019年第15期62-63,共2页
为了建立品牌并维护自己的声誉,包括FANG(指Facebook、Amazon、Netflix以及谷歌母公司Alphabet四家公司)在内的互联网公司纷纷在2018年增加广告营销活动的支出。单是FANG的广告营销支出在去年就已达数十亿美元。全美最大的100家广告主中... 为了建立品牌并维护自己的声誉,包括FANG(指Facebook、Amazon、Netflix以及谷歌母公司Alphabet四家公司)在内的互联网公司纷纷在2018年增加广告营销活动的支出。单是FANG的广告营销支出在去年就已达数十亿美元。全美最大的100家广告主中,包括FANG在内的65家公司在2018年增加了在美国市场的广告支出。 展开更多
关键词 广告支出 FACEBOOK BIG FANG Netflix
中西文化大传统理论的比较研究
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作者 胡建升 《文学人类学研究》 2019年第1期57-69,共13页
欧美人类学家提出的Great Tradition是西方文字中心主义、意识中心主义、精英文化主义的具体表现。在新世纪之初,文学人类学提出Big Tradition的文化理论,全新改造了欧美人类学家的Great Tradition,彰显了史前无文字时期的华夏智慧与文... 欧美人类学家提出的Great Tradition是西方文字中心主义、意识中心主义、精英文化主义的具体表现。在新世纪之初,文学人类学提出Big Tradition的文化理论,全新改造了欧美人类学家的Great Tradition,彰显了史前无文字时期的华夏智慧与文化源头,重视以史前之物为实证的隐蔽秩序与文化文本,强调史前人类文化的神话原型与文化结构功能,对重新发现华夏文明精神具有本土知识引领作用。 展开更多
关键词 文学人类学 BIG TRADITION GREAT TRADITION 文化文本
Artificial Intelligence Driven Resiliency with Machine Learning and Deep Learning Components 预览
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作者 Bahman Zohuri Farhang Mossavar Rahmani 《通讯和计算机:中英文版》 2019年第1期1-13,共13页
The future of any business from banking,e-commerce,real estate,homeland security,healthcare,marketing,the stock market,manufacturing,education,retail to government organizations depends on the data and analytics capab... The future of any business from banking,e-commerce,real estate,homeland security,healthcare,marketing,the stock market,manufacturing,education,retail to government organizations depends on the data and analytics capabilities that are built and scaled.The speed of change in technology in recent years has been a real challenge for all businesses.To manage that,a significant number of organizations are exploring the Big Data(BD)infrastructure that helps them to take advantage of new opportunities while saving costs.Timely transformation of information is also critical for the survivability of an organization.Having the right information at the right time will enhance not only the knowledge of stakeholders within an organization but also providing them with a tool to make the right decision at the right moment.It is no longer enough to rely on a sampling of information about the organizations'customers.The decision-makers need to get vital insights into the customers'actual behavior,which requires enormous volumes of data to be processed.We believe that Big Data infrastructure is the key to successful Artificial Intelligence(AI)deployments and accurate,unbiased real-time insights.Big data solutions have a direct impact and changing the way the organization needs to work with help from AI and its components ML and DL.In this article,we discuss these topics. 展开更多
关键词 Artificial intelligence resilience system machine learning deep learning big data.
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Closing the loop between data mining and fast decision support for intelligent train scheduling and traffic control 预览
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作者 Ingo A. HANSEN 《北京交通大学学报》 CAS CSCD 北大核心 2019年第1期24-30,共7页
The existing Big Data of transport flows and railway operations can be mined through advanced statistical analysis and machine learning methods in order to describe and predict well the train speed, punctuality, track... The existing Big Data of transport flows and railway operations can be mined through advanced statistical analysis and machine learning methods in order to describe and predict well the train speed, punctuality, track capacity and energy consumption. The accurate modelling of the real spatial and temporal distribution of line and network transport, traffic and performance stimulates a faster construction and implementation of robust and resilient timetables, as well as the development of efficient decision support tools for real-time rescheduling of train schedules. In combination with advanced train control and safety systems even (semi-.) automatic piloting of trains on main and regional railway lines will become feasible in near future. 展开更多
关键词 INTELLIGENT TRAIN RESCHEDULING TRAIN control big railway data STATISTICAL learning robust TIMETABLING
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Application of Big Data in Agricultural Informationization in Shandong Province under the Background of 'Internet +' 预览
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作者 Xinling GAN Yong LI 《亚洲农业研究:英文版》 2019年第4期1-3,共3页
This paper explains the basic concepts of ' Internet + ' and big data,analyzes the main problems in the application of big data technology in agricultural informationization of Shandong Province,summarizes cor... This paper explains the basic concepts of ' Internet + ' and big data,analyzes the main problems in the application of big data technology in agricultural informationization of Shandong Province,summarizes corresponding solutions from the aspects of government guidance,financial input,open sharing of agricultural big data,big data storage and processing,data mining,etc.,and prospects the application trend of big data technology in agricultural informationization to achieve the connotative development of agriculture in Shandong Province. 展开更多
关键词 AGRICULTURAL informationization 'Internet +' BIG DATA
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曼哈顿Big U规划
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作者 Kurt Nieminen Dammy Lee +17 位作者 Yifu Sun Jack Lipson David Spittler Blake Smith David Dottelonde Ken Amoah Choonghyo Lee Wesley Chiang Daisy Zhong Hector Garcia Riccardo de Palma Yaziel Juarbe Taylor Hewett Jan Casimir Daniele Pronesti Tore Banke Yehezkiel Wiliardy 朱翰林(译) 《城市环境设计》 2019年第2期240-249,共10页
'设计重建计划'是飓风桑迪重建工作组和美国住房与城市发展部的一项倡议,该计划旨在解决飓风肆虐之后造成的地区性结构破坏和环境缺陷问题,并衍生出一种经济上可行的解决方案以保护居民免受未来气候问题的影响。而Big U规划是... '设计重建计划'是飓风桑迪重建工作组和美国住房与城市发展部的一项倡议,该计划旨在解决飓风肆虐之后造成的地区性结构破坏和环境缺陷问题,并衍生出一种经济上可行的解决方案以保护居民免受未来气候问题的影响。而Big U规划是一个围绕着曼哈顿的保护系统,从西54街向南至巴特里,并一直延伸至东40街:1条绵延10英里(约16.1千米)的低洼带,其中包含着分布密集、充满活力但又脆弱不已的都市空间。 展开更多
关键词 曼哈顿 BIG U
Big Data Analytics for Healthcare Industry:Impact,Applications,and Tools
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作者 Sunil Kumar Maninder Singh 《大数据挖掘与分析(英文)》 2019年第1期48-57,共10页
In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data. T... In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data. The health industry sector has been confronted by the need to manage the big data being produced by various sources,which are well known for producing high volumes of heterogeneous data. Various big-data analytics tools and techniques have been developed for handling these massive amounts of data, in the healthcare sector. In this paper, we discuss the impact of big data in healthcare, and various tools available in the Hadoop ecosystem for handling it. We also explore the conceptual architecture of big data analytics for healthcare which involves the data gathering history of different branches, the genome database, electronic health records, text/imagery, and clinical decisions support system. 展开更多
关键词 BIG data healthcare HADOOP MAPREDUCE
Public "Cloud" Provisioning for Venus Express VMC Image Processing 预览
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作者 J.L.Vazquez-Poletti M.P.Velasco +7 位作者 S.Jimenez D.Usero I.M.Llorente L.Vazquez O.Korablev D.Belyaev M.V.Patsaeva I.V.Khatuntsev 《应用数学与计算数学学报(英文)》 2019年第2期253-261,共9页
In this paper,we consider the implementation of the “cloud" computing strategy to study data sets associated to the atmospheric exploration of the planet Venus. More concretely,the Venus Monitoring Camera (VMC) ... In this paper,we consider the implementation of the “cloud" computing strategy to study data sets associated to the atmospheric exploration of the planet Venus. More concretely,the Venus Monitoring Camera (VMC) onboard Venus Express orbiter provided the largest and the longest so far set of ultraviolet (UV),visible and near-IR images for investigation of the atmospheric circulation. To our best knowledge,this is the first time where the analysis of data from missions to Venus is integrated in the context of the "cloud" computing. The followed path and protocols can be extended to more general cases of space data analysis,and to the general framework of the big data analysis. 展开更多
关键词 RETRIEVAL DATA integration Cloud COMPUTING Big DATA
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Hadoop + Spark Platform Based on Big Data System Design of Agricultural Product Price Analysis and Prediction by HoltWinters 预览
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作者 Yun Deng Yan Zhu +1 位作者 Qingjun Zhang Xiaohui Cheng 《国际计算机前沿大会会议论文集》 2019年第1期121-123,共3页
In the market of agricultural products, the price of agricultural products is affected by production cost, market supply and other factors. In order to obtain the market information of agricultural products, the price... In the market of agricultural products, the price of agricultural products is affected by production cost, market supply and other factors. In order to obtain the market information of agricultural products, the price fluctuation can be analyzed and predicted. A distributed big data software platform based on Hadoop, Hive and Spark is proposed to analyze and forecast agricultural price data. Firstly, Hadoop, Hive and Spark big data frameworks were built to store the data information of agricultural products crawled into MYSQL. Secondly, the information of agricultural products crawled from MYSQL was exported to a text file, uploaded to HDFS, and mapped to spark SQL database. The data was cleaned and improved by Holt-Winters (three times exponential smoothing method) model to predict the price of agricultural products in the future. The data cleaned by spark SQL was imported and predicted by improved Holt-Winters into MYSQL database. The technologies of pringMVC, Ajax and Echarts were used to visualize the data. Keywords: Hadoop  Spark  Big data 展开更多
关键词 HADOOP SPARK BIG data Analysis and FORECAST of AGRICULTURAL product PRICES Holt-Winters
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Happy Helper
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作者 Rhea Ashmore 《小学生时代:英文版》 2019年第6期4-11,共8页
Hi, Big Mouth English readers! Are you a helper?Do you help your friend? Do you help your teacher? Do you help your mother? Read the story Happy Helper to find out what happens.
关键词 HAPPY HELPER BIG MOUTH happens
Oracle Bone Inscriptions Big Knowledge Management and Service Platform 预览
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作者 Jing Xiong Qingju Jiao +1 位作者 Guoying Liu Yongge Liu 《国际计算机前沿大会会议论文集》 2019年第1期134-136,共3页
Oracle bone inscriptions (OBI) has important historical and cultural values. The traditional OBI research methods are at a choke point, and the research method using computer science and information technology has ope... Oracle bone inscriptions (OBI) has important historical and cultural values. The traditional OBI research methods are at a choke point, and the research method using computer science and information technology has opened up the way of OBI information processing. However, it faces some problems, such as large but not centralized knowledge system, long learning cycle, learning difficulties, being difficult to obtain resources, inconsistent format, low retrieval accuracy, and low knowledge sharing and reuse. To solve these problems, it designs an OBI big data research resource management and intelligent knowledge service platform. Its goal is to make full use of OBI big data characteristics and use the knowledge engineering technology to build an OBI knowledge ecosystem. The experiment results show that the platform proposed provides effective one-stop knowledge management and knowledge service. 展开更多
关键词 Oracle BONE INSCRIPTIONS BIG KNOWLEDGE KNOWLEDGE GRAPH
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Quality control of marine big data——a case study of real-time observation station data in Qingdao 预览
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作者 QIAN Chengcheng LIU Aichao +4 位作者 HUANG Rui LIU Qingrong XU Wenkun ZHONG Shan YU Le 《海洋湖沼学报(英文)》 CSCD 2019年第6期1983-1993,共11页
Offshore waters provide resources for human beings,while on the other hand,threaten them because of marine disasters.Ocean stations are part of offshore observation networks,and the quality of their data is of great s... Offshore waters provide resources for human beings,while on the other hand,threaten them because of marine disasters.Ocean stations are part of offshore observation networks,and the quality of their data is of great significance for exploiting and protecting the ocean.We used hourly mean wave height,temperature,and pressure real-time observation data taken in the Xiaomaidao station(in Qingdao,China)from June 1,2017,to May 31,2018,to explore the data quality using eight quality control methods,and to discriminate the most effective method for Xiaomaidao station.After using the eight quality control methods,the percentages of the mean wave height,temperature,and pressure data that passed the tests were 89.6%,88.3%,and 98.6%,respectively.With the marine disaster(wave alarm report)data,the values failed in the test mainly due to the influence of aging observation equipment and missing data transmissions.The mean wave height is often affected by dynamic marine disasters,so the continuity test method is not effective.The correlation test with other related parameters would be more useful for the mean wave height. 展开更多
关键词 quality control REAL-TIME STATION DATA MARINE BIG DATA Xiaomaidao STATION MARINE DISASTER
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A Novel Clustering Technique for Efficient Clustering of Big Data in Hadoop Ecosystem
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作者 Sunil Kumar Maninder Singh 《大数据挖掘与分析(英文)》 2019年第4期240-247,共8页
Big data analytics and data mining are techniques used to analyze data and to extract hidden information.Traditional approaches to analysis and extraction do not work well for big data because this data is complex and... Big data analytics and data mining are techniques used to analyze data and to extract hidden information.Traditional approaches to analysis and extraction do not work well for big data because this data is complex and of very high volume. A major data mining technique known as data clustering groups the data into clusters and makes it easy to extract information from these clusters. However, existing clustering algorithms, such as k-means and hierarchical, are not efficient as the quality of the clusters they produce is compromised. Therefore, there is a need to design an efficient and highly scalable clustering algorithm. In this paper, we put forward a new clustering algorithm called hybrid clustering in order to overcome the disadvantages of existing clustering algorithms. We compare the new hybrid algorithm with existing algorithms on the bases of precision, recall, F-measure, execution time, and accuracy of results. From the experimental results, it is clear that the proposed hybrid clustering algorithm is more accurate, and has better precision, recall, and F-measure values. 展开更多
关键词 CLUSTERING HADOOP BIG data K-MEANS HIERARCHICAL
“大”器传神--三星堆文化器物造型的审美特征 预览
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作者 李社教 《湖北理工学院学报:人文社会科学版》 2019年第4期24-29,共6页
三星堆文化器物造型总体上呈现出一个显著的特征--"大"。"大"既现之于古蜀人器物的形制或造器的方法,也现之于通过器物表现的对象。三星堆文化器物造型的表达意图、表达内容、表达效果都指向神,同时也是借神扬人,... 三星堆文化器物造型总体上呈现出一个显著的特征--"大"。"大"既现之于古蜀人器物的形制或造器的方法,也现之于通过器物表现的对象。三星堆文化器物造型的表达意图、表达内容、表达效果都指向神,同时也是借神扬人,由此折射出了古蜀人的"崇高"的审美观念。 展开更多
关键词 三星堆文化 器物造型 审美特征
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Thoughts on the development of "data News" in the era of big data 预览
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作者 Shen Zhengbo Yuan Shaozhi 《探索-媒体与传播研究》 2019年第1期28-30,共3页
With"Robot Writing""Drone"And"Google Glasses"It is widely used in news reports. The trend of news report defocusing and defocusing is becoming more and more obvious,"Data news"H... With"Robot Writing""Drone"And"Google Glasses"It is widely used in news reports. The trend of news report defocusing and defocusing is becoming more and more obvious,"Data news"However, due to the current network environment, the professionalism of Data news has been questioned. Starting from the phenomenon, this paper discusses the problems existing in the development of data news. 展开更多
关键词 BIG DATA DATA NEWS NORMALIZATION OBJECTIVITY
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