用于大学学习计划的人工神经网络开发

I. Bayu, Sulaksana Putra, P. Eka, N. Kencana, Luh Putu, Ida Harini
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引用次数: 0

摘要

本研究旨在开发一个基于人工神经网络的估计系统,根据登巴萨市高中生的成绩单来预测乌达亚纳大学适合他们的学习计划。研究分为四个阶段:系统概述、用户界面设计、人工神经网络在系统中的实现和系统测试。对科学和社会科学课程成绩单数据的系统测试结果表明,所开发的模型具有良好的准确性,误差率低于7%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PENERAPAN ARTIFICIAL NEURAL NETWORK UNTUK MENDUGA PROGRAM STUDI DI UNIVERSITAS UDAYANA BERDASARKAN NILAI RAPOR
This research aims to develop an artificial neural network-based estimation system to predict the suitable study program at Udayana University for high school students in Denpasar City based on their report cards. The research is divided into four stages: system overview, user interface design, implementation of the artificial neural network in the system, and system testing. System testing results on report card data for science and social science classes demonstrate that the developed model has good accuracy with an error rate below 7%
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