0 Mėgstami
0Krepšelis

Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience

271,02 
271,02 
2025-07-31 271.0200 InStock
Nemokamas pristatymas į paštomatus per 13-17 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

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.

Informacija

Autorius: Wengang Zhang, Yanmei Zhang, Liang Han, Chongzhi Wu, Xin Gu,
Leidėjas: Springer Nature Singapore
Išleidimo metai: 2022
Knygos puslapių skaičius: 152
ISBN-10: 981166837X
ISBN-13: 9789811668371
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Structural engineering

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience“

Būtina įvertinti prekę

Goodreads reviews for „Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience“