Cantitate/Preț
Produs
Total produse
Vezi coșul
Application of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience de Wengang Zhang

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

Autor Wengang Zhang, Yanmei Zhang, Xin Gu, Chongzhi Wu, Liang Han
en Limba Engleză Paperback – 14 oct 2022
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.

Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 97617 lei  6-8 săpt.
  Springer Nature Singapore – 14 oct 2022 97617 lei  6-8 săpt.
Hardback (1) 98155 lei  6-8 săpt.
  Springer Nature Singapore – 13 oct 2021 98155 lei  6-8 săpt.

Preț: 97617 lei

Preț vechi: 119046 lei
-18% Nou

Puncte Express: 1464
Preț estimativ în valută:
18688€ • 19219$ • 15503£

Carte tipărită la comandă

Livrare economică 19 februarie-05 martie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811668371
ISBN-10: 981166837X
Pagini: 138
Ilustrații: XIV, 138 p. 76 illus., 66 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.24 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

Introduction.- Methods.- Applications.- Future Applications.

Notă biografică

ZHANG Wengang PhD, Professor, Associate Chair at School of Civil Engineering, Chongqing University. He got his PhD at Nanyang Technological University (NTU), Singapore in 2014. 

AWARDS
Computers and Geotechnics 2019 Sloan Outstanding Paper Award
Chongqing Science and Technology Award, First Prize in Natural Science (5/5)
Overseas High-level Talents (Young Thousand Talented Professor)
Leader of Academia & Technology in Chongqing (The 3rd Batch)           

Textul de pe ultima copertă

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.

Caracteristici

The first book available on Application of Soft Computing, Machine Learning
Advanced applications of hot topics of SC,ML,DL and optimizations
A summary of Machine learning algorithms as well as example applications