MODEL ARSITEKTUR NEURAL NETWORK DENGAN BACKPROPOGATION PADA PREDIKSI TOTAL LABA RUGI KOMPREHENSIF BANK UMUM KONVENSIONAL

MODEL ARSITEKTUR NEURAL NETWORK DENGAN BACKPROPOGATION PADA PREDIKSI TOTAL LABA RUGI KOMPREHENSIF BANK UMUM KONVENSIONAL

determine the marketing strategy in increasing the total comprehensive income. This study aims to create the best architectural model using Backpropogation where this model can later be made to make predictions of total comprehensive income. The variable used in this study is the total comprehensive...

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Bibliographic Details
Main Authors: Agus Perdana Windarto, Muhammad Ridwan Lubis, Solikhun Solikhun
Format: Article
Language:Indonesian
Published: Universitas Lambung Mangkurat 2018-09-01
Series:KLIK: Kumpulan jurnaL Ilmu Komputer
Online Access:http://klik.ulm.ac.id/index.php/klik/article/view/148

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