GDP Growth Rate Prediction Based on BP Neural Network and Support Vector Machine

被引：0

作者：

Zhou Shun ^{[1
]}

Yue Xiaoguang ^{[2
]}

机构：

[1] Wuhan Univ Technol, Sch Econ, Wuhan 430070, Peoples R China

[2] Wuhan Univ Technol, Sch Resources & Environm Engn, Wuhan 430070, Peoples R China

来源：

PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, VOLS I AND II | 2014年

关键词：

GDP; Growth rate; BP neural network; Support vector machine;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

In order to predict GDP growth rate in China, BP Neural Network (BPNN) and Support Vector Machine (SVM) are used for GDP growth rate prediction. BP Neural Network and Support Vector Machine prediction models are established by Matlab. BPNN and SVM are both effective methods for GDP growth rate prediction. The performance of SVM is better than BPNN. The average absolute error of SVM is 14.11. The next research will focus on the improving for SVM method.

引用

页码：1263 / 1266

页数：4

共 50 条

[31] Support vector machine and wavelet neural network hybrid: application to bankruptcy prediction in banks
Chandra, Devulapalli Karthik
Ravi, Vadlamani
Ravisankar, Pediredla
INTERNATIONAL JOURNAL OF DATA MINING MODELLING AND MANAGEMENT, 2010, 2 (01) : 1 - 21
[32] Neural network and support vector machine for the prediction of chronic kidney disease: A comparative study
Almansour, Njoud Abdullah
Syed, Hajra Fahim
Khayat, Nuha Radwan
Altheeb, Rawan Kanaan
Juri, Renad Emad
Alhiyafi, Jamal
Alrashed, Saleh
Olatunji, Sunday O.
COMPUTERS IN BIOLOGY AND MEDICINE, 2019, 109 : 101 - 111
[33] Software Defect Prediction: A Comparison Between Artificial Neural Network and Support Vector Machine
Arora, Ishani
Saha, Anju
ADVANCED COMPUTING AND COMMUNICATION TECHNOLOGIES, 2018, 562 : 51 - 61
[34] Comparison of GARCH, Neural Network and Support Vector Machine in Financial Time Series Prediction
Hossain, Altaf
Zaman, Faisal
Nasser, M.
Islam, M. Mufakhkharul
PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS, 2009, 5909 : 597 - +
[35] Fault prediction of shield machine based on rough set and BP neural network
Han, Hui
Gao, Xiang
2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE), 2017, : 994 - 998
[36] Analog neural network for support vector machine learning
Perfetti, Renzo
Ricci, Elisa
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2006, 17 (04): : 1085 - 1091
[37] On the Equivalence between Neural Network and Support Vector Machine
Chen, Yilan
Huang, Wei
Nguyen, Lam M.
Weng, Tsui-Wei
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
[38] Heart rate dynamics in the prediction of coronary artery disease and myocardial infarction using artificial neural network and support vector machine
Kumar, Rahul
Aggarwal, Yogender
Nigam, Vinod Kumar
JOURNAL OF APPLIED BIOMEDICINE, 2022, 20 (02) : 70 - 79
[39] LEAF IDENTIFICATION BASED ON BACK PROPAGATION NEURAL NETWORK AND SUPPORT VECTOR MACHINE
Ankalaki, Shilpa
Majumdar, Jharna
2015 INTERNATIONAL CONFERENCE ON COGNITIVE COMPUTING AND INFORMATION PROCESSING (CCIP), 2015,
[40] Crack detection in supported beams - Based on neural network and support vector machine
Liu, L
Meng, G
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, 2005, 3498 : 597 - 602

← 1 2 3 4 5 →