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A Neuro-Fuzzy Application for Clustering Greenhouse Gases Produced by Activities in University Dormitor

Narissara Eiamkanitchat
Department of Computer Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand
Abstract—This research applies a Neuro-fuzzy method for clustering greenhouse gases produced by student activities. The partitional clustering algorithm is combined with Neuro-fuzzy. A standard dataset including iris and breast cancer is used to test the ability of the clustering algorithm. All activities who live in university dormitories are used to calculate the coefficient greenhouse gas emissions. These gases are further clusterized by using Neuro-fuzzy techniques. The analysis results portray students’ behavior and can be used to promote the reduction of their greenhouse gas emissions.

Index Terms—neuro-fuzzy, clustering, greenhouse gas

Cite: Narissara Eiamkanitchati, "A Neuro-Fuzzy Application for Clustering Greenhouse Gases Produced by Activities in University Dormitor," Journal of Industrial and Intelligent Information, Vol. 1, No. 1, pp. 10-13, March 2013. doi: 10.12720/jiii.1.1.10-13
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