MACHINE LEARNING APPLICATIONS IN CIVIL ENGINEERING.
שמור ב:
| מחבר ראשי: | |
|---|---|
| פורמט: | אלקטרוני ספר אלקטרוני |
| שפה: | אנגלית |
| יצא לאור: |
[S.l.] :
ELSEVIER - HEALTH SCIENCE,
2023.
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| סדרה: | Woodhead Publishing series in civil and structural engineering
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| נושאים: | |
| גישה מקוונת: | ScienceDirect |
| תגים: |
הוספת תג
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תוכן הענינים:
- Front Cover
- Machine Learning Applications in Civil Engineering
- Copyright Page
- Contents
- Preface
- 1 Introduction to machine learning for civil engineering
- 1.1 Introduction to machine learning for civil engineering
- 1.2 What is machine learning and how can it be useful for optimization of civil engineering applications?
- 1.3 Use-case based review analysis of machine learning models for optimization of construction speed
- 1.4 Optimization of civil engineering tasks via machine learning-based system designs
- 1.5 Use of machine learning for different civil engineering areas
- 4 Introduction to classification models for civil engineering applications
- 4.1 Introduction
- 4.2 What is classification and how can it be used to optimize civil engineering applications?
- 4.3 Use case for geotechnical engineering
- 4.4 Use case for structural engineering applied to 3D building information modeling
- 4.5 Use case for water resources engineering
- 4.6 Use case for environmental parameter classifications
- 4.7 Use case for structural health monitoring system with structural design and analysis
- 4.8 Use case for remote sensing geometric information system applications
- 6.3 Issues with convolutional neural networks when applied to civil engineering tasks
- 6.4 Applications of convolutional neural networks for different fields of civil engineering
- References
- 7 Advanced classification models II: extensions to convolutional neural networks
- 7.1 Introduction to recurrent neural networks
- 7.2 Long short-term memory
- 7.3 Gated recurrent units
- 7.4 Real-time applications of recurrent neural networks to civil engineering tasks
- 7.5 A use case of geographic information system application and its solutions with different deep learning models
- References