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Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood

机译：人工神经网络预测性能及多元线性回归模型预测木材粘接强度的预测

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S. Bardak; S. Tiryaki; T. Bardak; A. Aydin;
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年度 2016
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入库时间 2022-08-20 22:13:51

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1. Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood [J] . Bardak S., Tiryaki S., Bardak T., Strength of Materials . 2016,第6期

机译：人工神经网络和多元线性回归模型在预测木材胶合强度中的预测性能
2. Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood [J] . S. Bardak, S. Tiryaki, T. Bardak, Проблемы прочностиПроблемы прочности: на рус．укр．и анг．языках . 2016,第6a444期

机译：人工神经网络和多元线性回归模型在预测木材胶合强度中的预测性能
3. Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood [J] . Bardak S., Tiryaki S., Bardak T., Strength of Materials . 2016,第6期

机译：人工神经网络的预测性能及多元线性回归模型预测木材粘接强度的预测
4. Application of artificial neural network and multiple linear regression models for predicting survival time of patients with non-small cell cancer using multiple prognostic factors including FDG-PET measurements [C] . Pu Yonglin, Baad Michael J., Jiang Yulei, International Joint Conference on Neural Networks . 2014

机译：人工神经网络和多元线性回归模型在包括FDG-PET测量在内的多种预后因素预测非小细胞癌患者生存时间中的应用
5. Predicting naval aviator flight training performance using multiple regression and an artificial neural network. [D] . Griffin, Glenn Ray. 1995

机译：使用多元回归和人工神经网络预测海军飞行员的飞行训练性能。
6. Selecting Modeling Techniques for Outcome Prediction: Comparison of Artificial Neural Networks Classification and Regression Trees and Linear Regression Analysis for Predicting Medical Rehabilitation Outcomes [O] . Deborah K. W. Walters, Richard T. Linn, Margaret Kulas, 1999

机译：预测结果的建模技术选择：人工神经网络分类和回归树的比较以及用于预测医疗康复结果的线性回归分析
7. A Performance Comparison between Multiple Linear Regression and Artificial Neural Networks in Predicting the Number of New Business Registered: A Case of the Democratic Republic of the Congo. [O] . Mulomba Mukendi Christian 2018

机译：多元线性回归与人工神经网络预测新业务数量的性能比较：刚果民主共和国的案例。

Predictive Performance of Artificial Neural Network and Multiple Linear Regression Models in Predicting Adhesive Bonding Strength of Wood

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