Support vector machine prediction model based on chaos theory

被引：0

作者：

Liangong S. ^{[1
]}

Huixin W. ^{[1
]}

Zezhong Z. ^{[2
]}

机构：

[1] College of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou, 450011, Henan

[2] School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, 450011, Henan

来源：

| 1600年 / Science and Engineering Research Support Society卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Chaos theory; Online public opinion; Phase space reconstruction; Support vector regression;

D O I：

10.14257/ijmue.2016.11.2.18

中图分类号：

学科分类号：

摘要：

In order to enhance prediction precision of online public opinion, it put forward a kind of online public opinion prediction model (PSR-SVR) with the combination of chaos theory and support vector regression. First of all, the original data of online public opinion were obtained throughout topic segmentation, hotspot extraction, and data aggregate. Then, time sequence of online public opinion was reconstructed throughout phase-space reconstruction. Finally, the reconstructed time sequence of online public opinion was input support vector regression for modeling and prediction, and then it was compared with other online public opinion prediction model by experiment. The result shows that compared with the contrast model, PSR-SVR improves the prediction precision and reliability of online public opinion, and the prediction results have certain practical value. © 2016 SERSC.

引用

页码：173 / 184

页数：11

共 50 条

[41] Combined Prediction Model of Quantum Genetic Grey Prediction Model and Support Vector Machine
Cao, Jiangyong
Fang, Yilin
Liu, Quan
Liu, Aiming
PROCEEDINGS OF 2016 5TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), 2016, : 247 - 251
[42] Sports Performance Prediction Based on Chaos Theory and Machine Learning
Sun, Wei
WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
[43] An enhanced support vector machine model for urban expansion prediction
Karimi, Firoozeh
Sultana, Selima
Babakan, Ali Shirzadi
Suthaharan, Shan
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2019, 75 : 61 - 75
[44] A Support Vector Machine Model for the Prediction of Monomer Reactivity Ratios
Yu, Xinliang
Wang, Xueye
POLYMER SCIENCE SERIES B, 2011, 53 (9-10) : 528 - 534
[45] A support vector machine model for the prediction of monomer reactivity ratios
Xinliang Yu
Xueye Wang
Polymer Science Series B, 2011, 53
[46] Research on the Cost Prediction Model of Construction Projects Based on the Support Vector Regression Machine
Kong, Xiangpeng
BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 284 - 284
[47] Prediction model for production index of mineral process based on weighted support vector machine
Key Laboratory of Process Industry Automation, Northeastern University, Shenyang 110004, China
不详
不详
不详
Xitong Fangzhen Xuebao, 2008, 8 (2220-2223+2227):
[48] Prediction model for surface roughness in milling based on least square support vector machine
Wu, Dehui
Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2007, 18 (07): : 838 - 841
[49] Output Prediction Model in Fully Mechanized Mining Face Based on Support Vector Machine
Li, Wanqing
Meng, Wenqing
Zhao, Yong
Xu, Shipeng
WKDD: 2009 SECOND INTERNATIONAL WORKSHOP ON KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2009, : 171 - +
[50] Delisting sharia stock prediction model based on financial information: Support Vector Machine
Endri, Endri
Kasmir, Kasmir
Syarif, Andam Dewi
DECISION SCIENCE LETTERS, 2020, 9 (02) : 207 - 214

← 1 2 3 4 5 →