Artificial Intelligence and Machine Learning Applications in Civil,Mechanical,and Industrial Engineering (Advances in Computational Intelligence and Robotics)
Authors: Gebrail Bekda
ISBN-10: 1799803015
ISBN-13: 9781799803010
Edition 版本: 1
Released: 2019-11-29
Pages: 311 pages
Book Description
In todays developing world,industries are constantly required to improve and advance. New approaches are being implemented to determine optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these recent methods are being applied within the engineering field and what effective solutions they are providing.
Artificial Intelligence and Machine Learning Applications in Civil,Mechanical,and Industrial Engineering is a collection of innovative research on the methods and implementation of machine learning and AI in multiple facets of engineering. While highlighting topics including control devices,geotechnology,and artificial neural networks,this book is ideally designed for engineers,academicians,researchers,practitioners,and students seeking current research on solving engineering problems using smart technology.
Contents
Detailed Contents
Preface
Chapter 1: Review and Applications of Machine Learning and Artificial Intelligence in
Engineering
Chapter 2: Artificial Neural Networks(ANNs)and Solution of Civil Engineering Problems
Chapter 3: A Novel Prediction Perspective to the Bending Over Sheave Fatigue Lifetime ofl
Steel Wire Ropes by Means of Artificial Neural Networks
Chapter 4: Introduction and Application Aspects of Machine Learning for Model
Reference Adaptive Control With Polynomial Neurons
Chapter 5: Optimum Design of Carbon Fiber-Reinforced Polymer(CFRP)Beams for Shear
Capacity via Machine Learning Methods
Chapter 6: A Scientometric Analysis and a Review on Current Literature of Computer
Vision Applications
Chapter 7: High Performance Concrete(HPC) Compressive Strength Prediction With
Advanced Machine Learning Methods
Chapter 8: Artificial Intelligence Towards Water Conservation
Chapter 9: Analysis of Ground Water Quality Using Statistical Techniques
Chapter 10: Probe People and Vehicle-Based Data Sources Application in Smart
Transportation
Chapter 11: Application of Machine Learning Methods for Passenger Demand Prediction
in Transfer Stations of Istanbul’s Public Transportation System
Chapter 12: Metaheuristics Approaches to Solve the Employee Bus Routing Problem With
Clustering-Based Bus Stop Selection
Chapter 13: An Assessment of Imbalanced Control Chart Pattern Recognition by Artificial
Neural Networks
Chapter 14: An Exploration of Machine Learning Methods for Biometric Identification
Based on Keystroke Dynamics
Compilation of References
About the Contributors
Index
