Best 18 wheeler accident lawyer, offshore accident attorney, construction truck accident lawyer, best motorcycle attorney, spectrum business fiber, flagstar wholesale, meso law firm, mesothelioma compensation for family members, automotive accident lawyers

Performance of Clustering on ANFIS for Weather Forecasting


Candra Dewi
2018  •  DOI: 10.21512/commit.v12i1.3941

Abstract

This paper proposes the comparison of using K-Means and Fuzzy C-Means (FCM) to optimize the premise parameters on Adaptive Neuro-Fuzzy Inference System (ANFIS) for weather forecasting. The ANFIS architecture groups each of the feature inputs in the first layer into three clusters, and uses three rules for the second layer. The comparison is performed based on the RMSE value and the number of iteration. The testing is done on the percentage of 40%, 50%, and 60% of the total data. In addition, the testing is done by grouping the data based on season called rainy and dry seasons. The testing results show that both K-Means and FCM havealmost the same RMSE, except for rainy season where K-Means has better RMSE. However, K-Means requires relatively more iterations to achieve convergence. The use of FCM, in general, gives better results than K-Means. It is also shown that ANFIS provides the best performance for data onto the dry season.

Save PDF Cite


Related Journal

SEGMENTATION OF OVERLAPPING CERVICAL CELLS IN NORMAL PAP SMEAR IMAGES USING DISTANCE-METRIC AND MORPHOLOGICAL OPERATION

ANALISIS DAN PERANCANGAN SISTEM INFORMASI DENGAN INTRANET: STUDI KASUS PERSEDIAAN MATERIAL PT BALFOUR BEATTY SAKTI INDONESIA

THE INFLUENCE OF CUSTOMERS COMMUNICATION BEHAVIOUR IN THE IMPLEMENTATION OF 21CINEPLEX VIRAL MARKETING USING THE SOCIAL NETWORKING SITE FACEBOOK


More

Search Research and Publications

CARI TULISAN is a scientific publication indexing site that helps everyone find research results and relevant data from papers, journals, books, research reports, and so on. Collected from various repositories, it makes scattered scientific research easily searchable.
All articles and content on this site are copyrighted works of the relevant authors that have been published as a result of scientific research. CARI TULISAN never distributes and supports pirated content.