Applying clustering techniques and neural networks to forecast the high school’s graduation scores in Tay Ninh province

Authors

  • Truong Son Dang Ho Chi Minh City University of Technology and Education, Vietnam
  • Nguyen Diem Phu Pham University of Information Technology, VNU-HCMC

Corressponding author's email:

sondtr@hcmute.edu.vn

Keywords:

Mạng nơron nhân tạo, Ứng dụng kỹ thuật, dự báo

Abstract

Artificial neural networks have been applied in solving many practical problems. Neural network algorithms are widely accepted and often used in solving forecasting problems. This paper proposed a model that combines neural networks with K-means clustering algorithms to build a software application predicting high school graduation scores in Tay Ninh province

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References

Carlos Ordonez, “Integrating K-Means Clustering with a Relational DBMS Using SQL.” IEEE Transactions on Knowledge and Data Engineering, vol.18, no.2., pp.188-201, 2006.

James A. Freeman, David M. Skapura, Neural Networks Algorithms Applications and Programming Techniques. Addison- Wesley Publishing Company.

Kenvin Gurney, An Introduction to Neural Networks. Taylor & Francis, 2003.

Trần Ngọc Anh, “Dùng mạng nơron và thuật giải di truyền để phân lớp dữ liệu.” Luận văn thạc sĩ Trường ĐH KHTN, 2004.

Published

28-03-2011

How to Cite

[1]
T. S. Dang and N. D. P. Pham, “Applying clustering techniques and neural networks to forecast the high school’s graduation scores in Tay Ninh province”, JTE, vol. 6, no. 1, pp. 41–48, Mar. 2011.

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Section

Research Article

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