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

This book PDF is perfect for those who love Science genre, written by Wengang Zhang and published by Springer Nature which was released on 12 October 2021 with total hardcover pages 143. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Application of Soft Computing Machine Learning Deep Learning and Optimizations in Geoengineering and Geoscience books below.

Application of Soft Computing Machine Learning Deep Learning and Optimizations in Geoengineering and Geoscience
Application of Soft Computing Machine Learning Deep Learning and Optimizations in Geoengineering and Geoscience
Author : Wengang Zhang
File Size : 45,9 Mb
Publisher : Springer Nature
Language : English
Release Date : 12 October 2021
ISBN : 9789811668357
Pages : 143 pages
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Application of Soft Computing Machine Learning Deep Learning and Optimizations in Geoengineering and Geoscience by Wengang Zhang Book PDF Summary

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.

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

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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

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