|
|
|
books
| book details |
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience
By (author) Wengang Zhang, By (author) Yanmei Zhang, By (author) Xin Gu, By (author) Chongzhi Wu, By (author) Liang Han
|
| on special |
normal price: R 5 312.95
Price: R 5 046.95
|
| book description |
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 solvingcritical problems of civil engineering.
| product details |
Normally shipped |
Publisher | Springer Verlag, Singapore
Published date | 14 Oct 2022
Language |
Format | Paperback / softback
Pages | 138
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-9-8116-6837-1
Readership Age |
BISAC |
| other options |
Normally shipped |
Readership Age |
Normal Price | R 6 921.95
Price | R 6 575.95
| on special |
|
|
|
To view the items in your trolley please sign in.
| sign in |
|
|
|
| specials |
|
|
|
Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
|
A terrifying locked-room mystery set in a remote outpost on Mars.
|
An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
|
|
|
|
|
