Browsing by Title
Now showing items 605-624 of 31998
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The 8th International Conference on Fisheries and Aquaculture
(THE INTERNATIONAL INSTITUTE OF KNOWLEDGE MANAGEMENT, 2021-08-19) -
THE 8TH INTERNATIONAL CONFERENCE ON FISHERIES AND AQUACULTURE
(Committee of the ICFA - 2021 The International Institute of Knowledge Management (TIIKM), 2021-08-19)Catfish (Clarias gariepinus) has main benefit of its rapid growth. To optimize the growth of catfish, the feed must be considered. The use of commercial feeding for catfish has already been a common practice. Therefore, ... -
9. 2826_SK Rektor (Panitia Penyusunan Jurnal Prodi PPKN FKIP UNMUL Tahun 2021
(Rektor Unmul, 2022-01-21) -
9. 2826_SK Rektor (Panitia Penyusunan Jurnal Prodi PPKN FKIP UNMUL Tahun 2021
(SK Rektor Unmul, 2022-01-21) -
9. 2826_SK Rektor (Panitia Penyusunan Jurnal Prodi PPKN FKIP UNMUL Tahun 2021
(SK Rektor Unmul, 2022-01-21) -
9. 67 Sertifikat Seminar Nasional Kepemimpinan Pendidikan Era Industri 0.4 3 Agustus 2021
(Direktur, Sekolah Pascasarjana Universitas Wiralodra, 2022-01-22) -
932 KEGIATAN PENGABDIAN DOSEN PRODI INFORMATIKA 2021
(2021-06-15) -
975 Panitia Workshop Analisis Sawit PT Sucofindo 2021
(2021-04-29) -
9a. RPS MPS
(2021-07-01) -
The 9th English Week 2021
(2021) -
9th IOC/WESTPAC International Workshop on the Fluvial Sediment Supply to the South China Sea
(MG Lab and Chulalongkorn University, 2016-11-24) -
A COMPARISON BETWEEN SIMPLE LINEAR REGRESSION AND RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN) MODELS FOR PREDICTING STUDENTS’ ACHIEVEMENT
(International Conference on Education 2014 (ICEdu14), 2014)This paper presents an approach for predicting student achievements using statistics and artificial neural networks (ANN), namely linear regression and radial basis function neural network (RBFNN) methods. The data is ... -
A COMPARISON BETWEEN SIMPLE LINEAR REGRESSION AND RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN) MODELS FOR PREDICTING STUDENTS’ ACHIEVEMENT
(International Conference on Education 2014 (ICEdu14), 2014)This paper presents an approach for predicting student achievements using statistics and artificial neural networks (ANN), namely linear regression and radial basis function neural network (RBFNN) methods. The data is ...