Learning From Data for Aquatic and Geotechnical Environments

List of contents

1 Introduction 2 Learning tasks and methods 3 Unsupervised learning in segmentation problems 4 Learning classification in geotechnical problems 5 Learning regression in sedimentation problems 6 Learning to control water systems 7 Conclusions and recommendations

About the author

Biswa Bhattacharya

Summary

Presents machine learning as an approach to building models that learn from data, and that can be used to complement the modelling practice in aquatic and geotechnical environments. This book provides concepts of learning from data, and identifies segmentation (clustering), classification, regression and control as the learning tasks.

Product details

• Authors: BHATTACHARYA, Biswa Bhattacharya, Biswa (Unesco-Ihe Institute for Wate Bhattacharya, Biswa (UNESCO-IHE Institute for Water Education Bhattacharya, Bhattacharya Biswa
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 31.12.2018
• EAN: 9781138474574
• ISBN: 978-1-138-47457-4
• No. of pages: 270
• Subjects: Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering; TECHNOLOGY & ENGINEERING / Civil / General, environmental science, engineering & technology, Civil engineering, surveying & building, Environmental science, engineering and technology, Water industries, Energy industries and utilities, Civil engineering, surveying and building