日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Rule-ranking method based on item utility in adaptive rule model

基于项目效用的自适应规则模型中的规则排序方法

Hikmawati, Erna; Maulidevi, Nur Ulfa; Surendro, Kridanto

The accuracy of Random Forest performance can be improved by conducting a feature selection with a balancing strategy

通过采用平衡策略进行特征选择,可以提高随机森林的性能准确率。

Prasetiyowati, Maria Irmina; Maulidevi, Nur Ulfa; Surendro, Kridanto

Determining the number of hidden layer and hidden neuron of neural network for wind speed prediction

确定用于风速预测的神经网络的隐藏层数和隐藏神经元数

Rachmatullah, Muhammad Ibnu Choldun; Santoso, Judhi; Surendro, Kridanto