Handbook on Computer Learning and Intelligence
- ISBN-10
- 9811246041
- ISBN-13
- 9789811246043
- Category
- Computational intelligence
- Language
- English
- Published
- 2022
- Author
- Plamen P. Angelov
Description
"The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence. This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories"--
Get the book
Similar books
-
Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model: Case Study in Perak River, Malaysia
By Samsul Ariffin Abdul Karim, Nur Fatonah KamsaniDr. Mahmod Othman from UTP and Dr. Evizal Abdul Kadir from UIR for their feedback and encouragement that have made this project is completed within the given time frame. Seri Iskandar, Malaysia Samsul Ariffin Abdul Karim Nur Fatonah ...
-
智能方法及应用
By 李琳, 钟珞, 袁景凌本书主要总结了目前比较常见的智能方法包括模糊计算, 粗糙集与粒计算, 群智能, 神经网络, 进化计算, 人工免疫系统等, 并从方法, 模型和应用等三方面进行了阐述 ...
-
Proceedings of Fifth International Congress on Information and Communication Technology: ICICT 2020, London, Volume 2
By Xin-She YangZhang, Y., Gao, J., Liu, Y.: MRT precoding in downlink multi-user MIMO systems. Eurasip J. Wirel. Commun. Netw. (2016). https://doi.org/10.1186/s13638-016-0738-6 10. Zhao, Y., Lin, Z., Liu, K., Zhang, C., Huang, L.: Pilot contamination ...
-
Computational Methods and Data Engineering: Proceedings of ICMDE 2020. Volume 1
This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering (ICMDE 2020), held at SRM University, Sonipat, Delhi-NCR, India.
-
Topological Methods in Hydrodynamics
By Boris A. Khesin, VLADIMIR I.. KHESIN ARNOLD[Shf2] Shafarevich, A.I. Generalized Prandtl–Maslov equations on graphs, describing stretched vorticity of incompressible fluids, Doklady RAN 358:6 (1998), 752–755; Asymptotic description of vortex ...
-
Fuzzy Logic, Soft Computing and Computational Intelligence
We can derive the meaningful results for REFERENCES setting payment standard through the fuzzy MCDM model . ... Multicriteria evaluation for strategies of improving and controlling air - quality in the super city : a case of Taipei city ...
-
Cyber Security Intelligence and Analytics: The 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), Volume 2
By Zheng Xu, Xiaolu Zhang, Octavio Loyola-Gonzálezprovide the most efficient and valuable data information for enterprises in market competition. ... For example, using data mining technology can help enterprises strengthen market operation management, improve the quality of products ...
-
Informatics and Cybernetics in Intelligent Systems: Proceedings of 10th Computer Science On-line Conference 2021, Vol. 3
By Radek SilhavyThis book constitutes the refereed proceedings of the informatics and cybernetics in intelligent systems section of the 10th Computer Science Online Conference 2021 (CSOC 2021), held online in April 2021.
-
Advances in Neural Information Processing Systems 17: Proceedings of the 2004 Conference
By Lawrence K. Saul, Yair Weiss, Léon BottouOnly twenty-five percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains the papers presented at the December, 2004 conference, held in Vancouver.
-
Metaheuristics in Machine Learning: Theory and Applications
By Diego OlivaE. Alba, R. Martí, Metaheuristic Procedures for Training Neural Networks, vol. 35 (Springer Science & Business Media, 2006) 20. P. Ponce-Cruz et al., A Practical Approach to Metaheuristics Using LabVIEW and MATLAB® (Chapman and Hall/CRC ...