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Using different machine learning approaches to evaluate performance on spare parts request for aircraft engines

机译：使用不同的机器学习方法来评估飞机发动机备件请求的性能

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Antonio Capodieci; Antonio Caricato; Antonio Paolo Carlucci; Antonio Ficarella; Luca Mainetti; Cristian Vergallo;
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1. Using different machine learning approaches to evaluate performance on spare parts request for aircraft engines [J] . Antonio Capodieci, Antonio Caricato, Antonio Paolo Carlucci, E3S Web of Conferences . 2020,第10期

机译：使用不同的机器学习方法来评估飞机发动机备件请求的性能
2. Novel Extreme Learning Machine Using Kalman Filter for Performance Prediction of Aircraft Engine in Dynamic Behavior [J] . Feng Lu, Jindong Wu, Jinquan Huang, Journal of aerospace engineering . 2020,第5期

机译：使用卡尔曼滤波器的新型极端学习机器，用于动态行为中飞机发动机的性能预测
3. Performance evaluation of the machine learning approaches in modeling of CO2 equilibrium absorption in Piperazine aqueous solution [J] . Yarveicy Hamidreza, Ghiasi Mohammad M., Mohammadi Amir H. Journal of Molecular Liquids . 2018,第期

机译：二氧化碳水溶液中CO2平衡吸收建模机器学习方法的性能评价
4. Analysis on Machine Learning Algorithms and Neural Networks for Demand Forecasting of Anti-Aircraft Missile Spare Parts [C] . Nikita Pawar, Bhavana Tiple International Conference on Communication and Electronics Systems . 2019

机译：防空导弹备件需求预测的机器学习算法和神经网络分析
5. Machine Learning Approaches to Improve Security and Performance Monitoring of IoT Devices [D] . Kayode, Olumide. 2020

机译：机器学习方法提高IOT设备的安全性和性能监控
6. Performance evaluation of friction stir welding using machine learning approaches [O] . Shubham Verma, Meenu Gupta, Joy Prakash Misra 2018

机译：基于机器学习方法的搅拌摩擦焊性能评估
7. Degradation Tendency Measurement of Aircraft Engines Based on FEEMD Permutation Entropy and Regularized Extreme Learning Machine Using Multi-Sensor Data [O] . Wei Jiang, Yanhe Xu, Yahui Shan, 2018

机译：基于FEEMD置换熵和使用多传感器数据的飞机发动机的降解趋势测量
8. A Systems Engineering Evaluation Method for Piloted Aircraft and Other Man-Operated Vehicles and Machines. Appendix D. A Unifying Set of Hypotheses for Dynamic System Test and Evaluation: The Rating and Measurement of System Performance, System Load, and System Work and Their Interrelationships. [R] . Higgins, T. H. 1982

机译：飞行员及其他人工车辆和机器的系统工程评估方法。附录D.动态系统测试和评估的一组统一假设：系统性能，系统负载和系统工作的评级和测量及其相互关系。

Using different machine learning approaches to evaluate performance on spare parts request for aircraft engines

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