Opposition-Based Learning Binary Bat Algorithm as Feature Selection Approach in Taguchi's T-Method
Prediction modeling has emerged as a powerful tool in various fields, from healthcare to finance, climate science to marketing. One of the prediction modelling techniques available is known as Taguchi's T-method introduced by Dr. Genichi Taguchi. In the T-method prediction model, optimization o...
保存先:
主要な著者: | Marlan Z.M., Jamaludin K.R., Harudin N. |
---|---|
その他の著者: | 57223885180 |
フォーマット: | Conference Paper |
出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2024
|
主題: | |
タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
類似資料
-
Taguchi?s T-method with Normalization-Based Binary Bat Algorithm
著者:: Marlan Z.M., 等
出版事項: (2025) -
Fraud detection by machine learning techniques
著者:: Khai, Wah Khaw, 等
出版事項: (2023) -
Application of augmented bat algorithm with artificial neural network in forecasting river inflow of hydroelectric reservoir stations in Malaysia
著者:: Joe Wee Wei, Mr.
出版事項: (2023) -
Malware Detection Using Deep Learning and Correlation-Based Feature Selection
著者:: Alomari E.S., 等
出版事項: (2024) -
A Hybrid Gini PSO-SVM Feature Selection: An Empirical Study of Population Sizes on Different Classifier
著者:: Noormadinah Allias, 等
出版事項: (2014)