Classification model for water quality in reservoir using an integration of one-against-one strategy and least square support vector machines

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Author

  • Thi Phuong Trang Pham

Keywords:

Management system
classification model
reservoir water quality
one-against-one
least square support vector machines

Abstract

An inefficient water management system may become one of the major disadvantages for a human-centered sustainable development process. Therefore, the classification model of water quality in reservoirs is essential in the resolution of environmental problems and has been a relevant tool for a sustainable and harmonious progress of the populations. This article proposes a classification model for classifying water quality in reservoir based on an integration of one-against-one (OAO) strategy and least square support vector machine (LSSVM). The paper analyzes and compares performance of various classification models and algorithms in order to demonstrate the suitable proposed model in classifying water quality with accuracy up to 92.196%.

References

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Published

Nov 30, 2018
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How to Cite
Thi Phuong Trang Pham. “Classification Model for Water Quality in Reservoir Using an Integration of One-Against-One Strategy and Least Square Support Vector Machines”. The University of Danang - Journal of Science and Technology, vol. 11, no. 132.2, Nov. 2018, pp. 162-5, https://jst-ud.vn/jst-ud/article/view/1418.

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