Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
- Length: 152 pages
- Edition: 1
- Language: English
- Publisher: Springer
- Publication Date: 2021-11-13
- ISBN-10: 9811668345
- ISBN-13: 9789811668340
- Sales Rank: #0 (See Top 100 Books)
This book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience.
Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience.
Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solving critical problems of civil engineering.
Cover Front Matter 1. Introduction 2. Soft Computing 3. Machine Learning and Applications 4. Deep Learning and Applications 5. Optimization Algorithms and Applications 6. Application of LSTM and Prophet Algorithm in Slope Displacement Prediction 7. Prediction of Undrained Shear Strength Using XGBoost and RF Based on BO 8. Prediction for TBM Penetration Rate Using Four Hyperparameter Optimization Methods and RF Model 9. What We Have Learnt from the Applications 10. Work Ongoing and Future Recommendations
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