Artificial Intelligence for Engineers: Basics and Implementations
Author:   Zhen ""Leo"" Liu
Publisher:   Springer International Publishing AG
ISBN:  

9783031759550


Pages:   439
Publication Date:   05 January 2026
Format:   Paperback
Availability:   In Print   Availability explained
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Artificial Intelligence for Engineers: Basics and Implementations


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Author:   Zhen ""Leo"" Liu
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031759550


ISBN 10:   3031759559
Pages:   439
Publication Date:   05 January 2026
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preparation Knowledge: Basics of AI.- Tools for Artificial Intelligence.- Linear Models.- Decision Trees.- Support Vector Machine.- Bayesian Algorithms.- Artificial Neural Network.- Deep Learning.- Ensemble Learning.- Clustering.- Dimension Reduction.- Anomaly Detection.- Association Rule Leaming.- Basics of and Value-Based Reinforcement Learning.- Policy-Based Reinforcement Learning.

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Author Information

Leo Liu’s research interests include poromechanics, multiphysics, Artificial Intelligence (AI), and cyber-physical systems. The scope covers both traditional civil engineering applications, such as unsaturated soil mechanics, geohazards, energy geotechnics, and more interdisciplinary innovations, such as intelligent geosystems (for smart cities), system resilience against disaster and weather, and “big data” solutions for intelligent geosystems and transportation systems. His research has many direct applications in infrastructure safety, energy resources, environment protection, and advanced materials.

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