IMAGE DATA CLASSIFICATION BY NFES-MODEL

Authors

  • M. Givi Efgivia Sekolah Tinggi Manajemen Informatika dan Komputer Muhammadiyah Jakarta
  • Safaruddin A. Prasad Program Studi Fisika, Jurusan Fisika, FMIPA, UNHAS, Makassar

:

https://doi.org/10.9744/informatika.9.2.130-136

Keywords:

knowledge-based, neuro-fuzzy, expert system, classification, misclassification

Abstract

In this paper, we propose an identification method of the land cover from remote sensing data with combining neuro-fuzzy and expert system. This combining then is called by Neuro-Fuzzy Expert System Model (NFES-Model). A Neural network (NN) is a part from neuro-fuzzy has the ability to recognize complex patterns, and classifies them into many desired classes. However, the neural network might produce misclassification. By adding fuzzy expert system into NN using geographic knowledge based, then misclassification can be decreased, with the result that improvement of classification result, compared with a neural network approximation.

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Published

2010-02-10

How to Cite

Efgivia, M. G., & A. Prasad, S. (2010). IMAGE DATA CLASSIFICATION BY NFES-MODEL. Jurnal Informatika, 9(2), 130-136. https://doi.org/10.9744/informatika.9.2.130-136

Issue

Vol. 9 No. 2 (2008): NOVEMBER 2008

Section

Articles

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