The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)
Editors: Hassanien, A.E., F. Tolba, M., Elhoseny, M., Fouad, M.M. (Eds.)
Free Preview- Presents recent research on advanced machine learning technologies and applications
- Includes outcomes of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt on February 22–24, 2018
- Written by experts in the field
Buy this book
- About this book
-
This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22–24, 2018, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms and optimization.
- Table of contents (69 chapters)
-
-
A Hybrid Grey Wolf-Bat Algorithm for Global Optimization
Pages 3-12
-
Fractional Order Sliding Mode PID Controller/Observer for Continuous Nonlinear Switched Systems with PSO Parameter Tuning
Pages 13-22
-
Modified Optimal Foraging Algorithm for Parameters Optimization of Support Vector Machine
Pages 23-32
-
Pareto Based Bat Algorithm for Multi Objectives Multiple Constraints Optimization in GMPLS Networks
Pages 33-41
-
Fish Image Segmentation Using Salp Swarm Algorithm
Pages 42-51
-
Table of contents (69 chapters)
Recommended for you

Bibliographic Information
- Bibliographic Information
-
- Book Title
- The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)
- Editors
-
- Aboul Ella Hassanien
- Mohammed F. Tolba
- Mohamed Elhoseny
- Mohamed Mostafa Fouad
- Series Title
- Advances in Intelligent Systems and Computing
- Series Volume
- 723
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-74690-6
- DOI
- 10.1007/978-3-319-74690-6
- Softcover ISBN
- 978-3-319-74689-0
- Series ISSN
- 2194-5357
- Edition Number
- 1
- Number of Pages
- XVII, 717
- Number of Illustrations
- 299 b/w illustrations
- Topics