NARX neural networks based time series prediction for amount of airworthiness time

机译：基于NARX神经网络的时间序列预测适航时间

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摘要

Aviation, a serious sector, is required to recourse planning intensively. There is a need for foresight in order to eliminate the planless that can lead to high costs and prevent accidents that could cause to fatal consequences. Without doubt, considering inexperienced pilot candidates this situation comes into prominence for profit-oriented flight training organizations. This study contains extracting time series of airworthiness and forecasting amount of daily airworthiness time based on NARX (Nonlineer Auto Regressive Exogenous) neural network models.

机译：航空是一个重要部门，需要集中资源进行规划。需要远见卓识，以消除可能导致高成本并避免可能导致致命后果的事故。毫无疑问，考虑到缺乏经验的飞行员候选人，这种情况对于以利润为导向的飞行训练组织而言尤为突出。该研究包含提取适航时间序列，并基于NARX（非自动回归外生）神经网络模型预测每日适航时间。

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来源
《2016 National Conference on Electrical, Electronics and Biomedical Engineering》|2016年|130-134|共5页
会议地点
作者
Ali Tatli; Sinem Kahvecioğlu;
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作者单位

Havacilik Elektrik ve Elektroniği Bölümü, Anadolu Üniversitesi, Eskişehir;

Havacilik Elektrik ve Elektroniği Bölümü, Anadolu Üniversitesi, Eskişehir;

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原文格式 PDF
正文语种 eng
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关键词
Neural networks; Time series analysis; Nanoelectromechanical systems; Atmospheric modeling; Predictive models; Dogs; Planning;

机译：神经网络;时间序列分析;纳米机电系统;大气建模;预测模型;狗;规划;

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1. Chaotic time series prediction with residual analysis method using hybrid Elman-NARX neural networks [J] . Muhammad Ardalani-Farsa, Saeed Zolfaghari Neurocomputing . 2010,第13a15期

机译：残差分析方法的混合Elman-NARX神经网络预测混沌时间序列
2. A Hybrid Methodology for Salinity Time Series Forecasting Based on Wavelet Transform and NARX Neural Networks [J] . Xingguo Yang, Hongjian Zhang, Hongliang Zhou Arabian Journal for Science and Engineering . 2014,第10期

机译：基于小波变换和NARX神经网络的盐度时间序列混合预测方法
3. NARX Network based Driver Behavior Analysis and Prediction using Time- series modeling [J] . Wu Ling, Liu Haoxue, Zhu Tong, Intelligent automation and soft computing . 2018,第3期

机译：使用时间序列建模的基于NARX网络的驾驶员行为分析和预测
4. NARX neural networks based time series prediction for amount of airworthiness time [C] . Ali Tatli, Sinem Kahvecio?lu National Conference on Electrical, Electronics and Biomedical Engineering . 2016

机译：基于NARX神经网络的时间序列预测适航时间
5. A study of neural networks and multiple neural networks in making short-term and long-term time-series prediction of petroleum production and gas consumption. [D] . Nguyen, Hanh Hong. 2003

机译：对神经网络和多重神经网络进行石油产量和天然气消耗的短期和长期时间序列预测的研究。
6. Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model [O] . Refat Khan Pathan, Munmun Biswas, Mayeen Uddin Khandaker -1

机译：基于递归神经网络的LSTM模型的变异率分析预测COVID-19的时间序列
7. Time-Series Prediction for Amount of Airworthiness Based on Time-Delay Neural Networks [O] . Ali Tatli, Sinem Kahvecioglu, Hikmet Karakoc 2020

机译：基于时滞神经网络的适航量的时间序列预测

NARX neural networks based time series prediction for amount of airworthiness time

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