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铁路工程风预测(英文版) 版权信息
- ISBN:9787548744269
- 条形码:9787548744269 ; 978-7-5487-4426-9
- 装帧:一般胶版纸
- 册数:暂无
- 重量:暂无
- 所属分类:>>
铁路工程风预测(英文版) 内容简介
本书从大数据建模的独特视角, 详细阐了述铁路风预测的原创性原理和重大工程应用, 覆盖感知、处理、辨识、建模和预测的全部环节。本书是国际铁路风工程领域的**部关于风速预测的英文学术专著。本书版权输出世界学术出版巨头爱思唯尔 (Elsevier) , 全球发行, 有助于提升我国高速铁路技术的国际竞争力和国际形象。
铁路工程风预测(英文版) 目录
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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