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鐵路工程風預測(英文版) 版權信息
- ISBN:9787548744269
- 條形碼:9787548744269 ; 978-7-5487-4426-9
- 裝幀:一般膠版紙
- 冊數:暫無
- 重量:暫無
- 所屬分類:>>
鐵路工程風預測(英文版) 內容簡介
本書從大數據建模的獨特視角, 詳細闡了述鐵路風預測的原創性原理和重大工程應用, 覆蓋感知、處理、辨識、建模和預測的全部環節。本書是國際鐵路風工程領域的**部關于風速預測的英文學術專著。本書版權輸出世界學術出版巨頭愛思唯爾 (Elsevier) , 全球發行, 有助于提升我國高速鐵路技術的國際競爭力和國際形象。
鐵路工程風預測(英文版) 目錄
Chapter 1 Introduction
1.1 Overview of wind forecasting in train wind engineering
1.2 Typical scenarios of railway wind engineering
1.3 Key technical problems in wind signal processing
1.4 Wind forecasting technologies in railway wind engineering
1.5 Scope of this book
References
Chapter 2 Analysis of Flow Field Characteristics Along Railways
2.1 Introduction
2.2 Analysis of spatial characteristics of railway flow field
2.3 Analysis of seasonal characteristics of railway flow field
2.4 Summary and outlook
References
Chapter 3 Description of Single-Point Wind Time Series Along Railways
3.1 Introduction
3.2 Wind anemometer layout optimization methods along railways
3.3 Single-point wind speed-wind direction seasonal analysis
3.4 Single-point wind speed-wind direction heteroscedasticity analysis
3.5 Various single-point wind time series description algorithms
3.6 Description accuracy evaluation indicators
3.7 Summary and outlook
References
Chapter 4 Single-Point Wind Forecasting Methods Based on Deep Learning
4.1 Introduction
4.2 Wind data description
4.3 Single-point wind speed forecasting algorithm based on LSTM
4.4 Single-point wind speed forecasting algorithm based on GRU
4.5 Single-point wind speed direction algorithm based on Seriesnet
4.6 Summary and outlook
References
Chapter 5 Single-Point Wind Forecasting Methods Based on Reinforcement Learning
5.1 Introduction
5.2 Wind data description
5.3 Single-point wind speed forecasting algorithm based on Q-Iearning
5.4 Single-point wind speed forecasting algorithm based on deep reinforcement learning
5.5 Summary and outlook
References
……
Chapter 6 Single-Point Wind Forecasting Methods Based on Ensemble Modeling
Chapter 7 Description Methods of Spatial Wind Along Railways
Chapter 8 Data-Driven Spatial Wind Forecasting Methods Along Railways
Nomenclature
1.1 Overview of wind forecasting in train wind engineering
1.2 Typical scenarios of railway wind engineering
1.3 Key technical problems in wind signal processing
1.4 Wind forecasting technologies in railway wind engineering
1.5 Scope of this book
References
Chapter 2 Analysis of Flow Field Characteristics Along Railways
2.1 Introduction
2.2 Analysis of spatial characteristics of railway flow field
2.3 Analysis of seasonal characteristics of railway flow field
2.4 Summary and outlook
References
Chapter 3 Description of Single-Point Wind Time Series Along Railways
3.1 Introduction
3.2 Wind anemometer layout optimization methods along railways
3.3 Single-point wind speed-wind direction seasonal analysis
3.4 Single-point wind speed-wind direction heteroscedasticity analysis
3.5 Various single-point wind time series description algorithms
3.6 Description accuracy evaluation indicators
3.7 Summary and outlook
References
Chapter 4 Single-Point Wind Forecasting Methods Based on Deep Learning
4.1 Introduction
4.2 Wind data description
4.3 Single-point wind speed forecasting algorithm based on LSTM
4.4 Single-point wind speed forecasting algorithm based on GRU
4.5 Single-point wind speed direction algorithm based on Seriesnet
4.6 Summary and outlook
References
Chapter 5 Single-Point Wind Forecasting Methods Based on Reinforcement Learning
5.1 Introduction
5.2 Wind data description
5.3 Single-point wind speed forecasting algorithm based on Q-Iearning
5.4 Single-point wind speed forecasting algorithm based on deep reinforcement learning
5.5 Summary and outlook
References
……
Chapter 6 Single-Point Wind Forecasting Methods Based on Ensemble Modeling
Chapter 7 Description Methods of Spatial Wind Along Railways
Chapter 8 Data-Driven Spatial Wind Forecasting Methods Along Railways
Nomenclature
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