IDENTIFIKASI TIGA JENIS BUNGA IRIS MENGGUNAKAN ANFIS

Authors

  • Abdul Kadir Program Pascasarjana Teknik Elektro Universitas Gadjah Mada, Yogyakarta

Keywords:

ANFIS, Classification, Fuzzy Logic, Iris identification, Neural network

Abstract

This paper was based on our research in preparing several tools for identification on various houseplants. One of tools we investigated was ANFIS. As a preliminary research, we tried to apply ANFIS to identify three kinds of Iris. As we know, many researches have used Iris data came from Fisher’s research in 1936 for classification purposes. In this research, we try to several kinds of parameters of fuzzy logic on input, especially on membership functions and number of function’s membership.

The result showed that the worst performance by using bell function was 70%. Not so good. Therefore, many explorations must be conducted to get better performance.

 

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References

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Fu, L.; 1994; Neural Networks in Computer Intelligence; Singapore: McGraw-Hill Book Co.
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Shing, J; Jang, R.; 1993; ANFIS : Adap tive-Ne twork-Based Fuzzy
Silipo, R.; Berthold, M.R.; 2000; Input Features’ Impact on Fuzzy Decision Processes; IEEE Transactions On Systems, Man, And Cybernetics; http://www.inf.uni-konstanz.de/bioml2/publications/Papers2000/SiBe00_infogain_smcb/paper-smc-e-0-4-2.pdf.
The MathWorks; 2009; Fuzzy Logic Toolbox User’s Guide MATLAB; USA: The MathWorks, Inc.

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Published

2010-06-30

How to Cite

Kadir, A. (2010). IDENTIFIKASI TIGA JENIS BUNGA IRIS MENGGUNAKAN ANFIS. Jurnal Teknologi, 3(1), 10–15. Retrieved from https://ejournal.akprind.ac.id/index.php/jurtek/article/view/835

Issue

Vol. 3 No. 1 (2010): Jurnal Teknologi

Section

Articles

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