Simulation and analysis of chinese economic development based on neural network

Yu Qiang Feng; Xue Feng Wang; Ying Lei; Ying Jun Feng

Simulation and analysis of chinese economic development based on neural network

Yu Qiang Feng^*
, Xue Feng Wang
, Ying Lei
, Ying Jun Feng

^*Corresponding author for this work

School of Management, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Macroeconomic growth simulation has great importance in making strategies of economic development and policies, but there have not been any effective methods of simulation. For this we try to use the method of neural network (NN) to construct the model simulating the relation of GDP, financial revenue, work force and price on industry structures based on the Chinese economy. A new algorithm based on single parameter coordinate rotatory method is provided to train and structure the multilayer feedforward neural network model. The method has much faster constringency speed than back-propagation algorithm. Besides the paper provides an approach to discovery relation about input nodes, priorities and output nodes in the NN model based on mathematical statistics method. Then we furthermore use statistic methods to explain the simulated results and find that the simulation has better effects. This paper provides a new perspective of economic growth.

Original language	English
Title of host publication	2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1423-1428
Number of pages	6
ISBN (Print)	0780375084, 9780780375086
State	Published - 2002
Externally published	Yes
Event	2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002 - Beijing, China Duration: 4 Nov 2002 → 5 Nov 2002

Publication series

Name	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Volume	3

Conference

Conference	2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002
Country/Territory	China
City	Beijing
Period	4/11/02 → 5/11/02

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth

Keywords

Learning algorithm
Macroeconomic growth
Neural network
Simulation and analysis

Cite this

Feng, Y. Q., Wang, X. F., Lei, Y., & Feng, Y. J. (2002). Simulation and analysis of chinese economic development based on neural network. In 2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002 (pp. 1423-1428). (Proceedings of 2002 International Conference on Machine Learning and Cybernetics; Vol. 3). Institute of Electrical and Electronics Engineers Inc..

Feng, Yu Qiang ; Wang, Xue Feng ; Lei, Ying et al. / Simulation and analysis of chinese economic development based on neural network. 2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002. Institute of Electrical and Electronics Engineers Inc., 2002. pp. 1423-1428 (Proceedings of 2002 International Conference on Machine Learning and Cybernetics).

@inproceedings{25948d97c7b8486f8c46daf41139c7fa,

title = "Simulation and analysis of chinese economic development based on neural network",

abstract = "Macroeconomic growth simulation has great importance in making strategies of economic development and policies, but there have not been any effective methods of simulation. For this we try to use the method of neural network (NN) to construct the model simulating the relation of GDP, financial revenue, work force and price on industry structures based on the Chinese economy. A new algorithm based on single parameter coordinate rotatory method is provided to train and structure the multilayer feedforward neural network model. The method has much faster constringency speed than back-propagation algorithm. Besides the paper provides an approach to discovery relation about input nodes, priorities and output nodes in the NN model based on mathematical statistics method. Then we furthermore use statistic methods to explain the simulated results and find that the simulation has better effects. This paper provides a new perspective of economic growth.",

keywords = "Learning algorithm, Macroeconomic growth, Neural network, Simulation and analysis",

author = "Feng, \{Yu Qiang\} and Wang, \{Xue Feng\} and Ying Lei and Feng, \{Ying Jun\}",

year = "2002",

language = "英语",

isbn = "0780375084",

series = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1423--1428",

booktitle = "2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002",

address = "美国",

note = "2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002 ; Conference date: 04-11-2002 Through 05-11-2002",

}

Feng, YQ, Wang, XF, Lei, Y & Feng, YJ 2002, Simulation and analysis of chinese economic development based on neural network. in 2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002. Proceedings of 2002 International Conference on Machine Learning and Cybernetics, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 1423-1428, 2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002, Beijing, China, 4/11/02.

Simulation and analysis of chinese economic development based on neural network. / Feng, Yu Qiang; Wang, Xue Feng; Lei, Ying et al.
2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002. Institute of Electrical and Electronics Engineers Inc., 2002. p. 1423-1428 (Proceedings of 2002 International Conference on Machine Learning and Cybernetics; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Simulation and analysis of chinese economic development based on neural network

AU - Feng, Yu Qiang

AU - Wang, Xue Feng

AU - Lei, Ying

AU - Feng, Ying Jun

PY - 2002

Y1 - 2002

N2 - Macroeconomic growth simulation has great importance in making strategies of economic development and policies, but there have not been any effective methods of simulation. For this we try to use the method of neural network (NN) to construct the model simulating the relation of GDP, financial revenue, work force and price on industry structures based on the Chinese economy. A new algorithm based on single parameter coordinate rotatory method is provided to train and structure the multilayer feedforward neural network model. The method has much faster constringency speed than back-propagation algorithm. Besides the paper provides an approach to discovery relation about input nodes, priorities and output nodes in the NN model based on mathematical statistics method. Then we furthermore use statistic methods to explain the simulated results and find that the simulation has better effects. This paper provides a new perspective of economic growth.

AB - Macroeconomic growth simulation has great importance in making strategies of economic development and policies, but there have not been any effective methods of simulation. For this we try to use the method of neural network (NN) to construct the model simulating the relation of GDP, financial revenue, work force and price on industry structures based on the Chinese economy. A new algorithm based on single parameter coordinate rotatory method is provided to train and structure the multilayer feedforward neural network model. The method has much faster constringency speed than back-propagation algorithm. Besides the paper provides an approach to discovery relation about input nodes, priorities and output nodes in the NN model based on mathematical statistics method. Then we furthermore use statistic methods to explain the simulated results and find that the simulation has better effects. This paper provides a new perspective of economic growth.

KW - Learning algorithm

KW - Macroeconomic growth

KW - Neural network

KW - Simulation and analysis

UR - https://www.scopus.com/pages/publications/0036925766

M3 - 会议稿件

AN - SCOPUS:0036925766

SN - 0780375084

SN - 9780780375086

T3 - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

SP - 1423

EP - 1428

BT - 2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2002 International Conference on Machine Learning and Cybernetics, ICMLC 2002

Y2 - 4 November 2002 through 5 November 2002

ER -

Simulation and analysis of chinese economic development based on neural network

Abstract

Publication series

Conference

UN SDGs

Keywords

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Cite this