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Dhoriva Urwatul Wutsqa
Universitas Negeri Yogyakarta
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Journal : telkomnika telecommunication computing electronics and control

 1 
Construction of fuzzy radial basis function neural network model for diagnosing prostate cancer Agus Maman Abadi; Dhoriva Urwatul Wutsqa; Nurlia Ningsih
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 4: August 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i4.20398

Abstract

In this paper, we propose a construction of fuzzy radial basis function neural network model for diagnosing prostate cancer. A fuzzy radial basis function neural network (fuzzy RBFNN) is a hybrid model of logical fuzzy and neural network. The fuzzy membership function of the fuzzy RBFNN model input is developed using the triangle function. The fuzzy C-means method is applied to estimate the center and the width parameters of the radial basis function. The weight estimation is performed by various ways to gain the most accurate model. A singular value decomposition (SVD) is exploited to address this process. As a comparison, we perform other ways including back propagation and global ridge regression. The study also promotes image preprocessing using high frequency emphasis filter (HFEF) and histogram equalization (HE) to enhance the quality of the prostate radiograph. The features of the textural image are extracted using the gray level co-occurrence matrix (GLCM) and gray level run length matrix (GLRLM). The experiment results of fuzzy RBFNN are compared to those of RBFNN model. Generally, the performances of fuzzy RBFNN surpass the RBFNN in all accuracy calculation. In addition, the fuzzy RBFNN-SVD demonstrates the most accurate model for prostate cancer diagnosis.
Co-Authors AA Sudharmawan, AA Aditya Purnama Agus Maman Abadi Alfizah Ayu Indria Sari Amatullah, Gaida Anis Widiyanti Arifah Muzayyanah Ariyadi Wijaya Arsyil Waritsman Ayu Aji Wedaring Tias Bayutama Isnaini Bayutama Isnaini Berta Nurwidyastuti Brilliant, Indira Ihnu Brodjol Sutijo Chintya Wijayanti Curie Putri Hijrihani Endang Listyani Ezra Putranda Setiawan Ezra Putranda Setiawan Firda Hariyanti Hanifa, Amelia Rifka Hanna Filen Sopia Hayatun Nufus Heri Retnawati Hidayat Setiawan Ihsan Aji Nugroho Imam Nursahid Inayati, Syarifah Isnaini, Bayutama Jailani Jailani Janastu, I Nyoman Cerdas Jaslin Ikhsan Kana Hidayati Karyati ' Karyati Karyati Kismiantini Kismiantini Konstantinus Denny Pareira Meke Lalu Irfan Abdul Manaf Luthfia Hanun Yuli Arini Manuela Visakha Maria Trisna Sero Wondo Mathilda Susanti Mathilda Susanti Mubdiya Diniyati Shobah Muhammad Fauzan Muhammad fauzan Muhammad Fauzan Muhammad Istiqlal Muhammad Suhadak Muzayyanah, Arifah Netty Angie Nazamawati Nur'aini, Rizky Nurlia Ningsih Prasari, An Naffila Putri Priansyah, Syifa Nafi'ah Prihastuti, Pusparani Puan Puspita, Maya Novia Rakhmat Wibowo Ramadian Radite Ratna Rustina Ratna Widianti Utami Retno Damayanti Retno Subekti Rifai Rifai Rina Susilowati Rinda Naviano Riyan Hidayat Rohmah, Desti Nur Rosita Kusumawati Sahid Sahid Sahid Sahid Satriawan Satriawan Siti Chotimah Siti Kholifah Sony Yunior Erlangga Sri Nurhayati Sri Rezeki subanar subanar Suhartono Suhartono Suhartono Suhartono Suryo Guritno Tri Astuti Arigiyati Trisnawati Ulfa Lu’luilmaknun Usi Susanti Visna Arumvitria Ningsih Wahyu Setyaningrum Wahyu Sianipar Winda Dwi Astuti Yogya Ardi Winata Zanzawi Soejoeti