E-Book, Englisch, Band 1284, 677 Seiten, eBook
Jia / Zhang / Fu Proceedings of 2024 Chinese Intelligent Systems Conference
1. Auflage 2024
ISBN: 978-981-97-8654-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Volume II
E-Book, Englisch, Band 1284, 677 Seiten, eBook
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-981-97-8654-1
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book constitutes the proceedings of the 20th Chinese Intelligent Systems Conference, CISC 2024, which was held on October 26–27, 2024, in Guilin, Guangxi, China. The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behaviour, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of flying vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- 1 Design of IIR fractional order digital differentiators using Iterative Convex Optimization algorithm.
.- 2 Online Learning Algorithm for Multi-agent Noncooperative Games.
.- 3 Knowledge Graph Construction for Patent Information in Offshore Wind Power Field.
.- 4 Modeling of Interval Type-2 Fuzzy Logic System by Semi-Tensor Product.
.- 5 Robust Adaptive Control of Missiles Based on Fuzzy RBF Neural Network.
.- 6 Deep Reinforcement Learning of Physically Simulated Character Control.
.- 7 The Game of Degree of Target-Attacker-Defender Game With Non-zero Capture Radius.
.- 8 Visual inertial 3D reconstruction system based on KLT optical flow and voxel hash.
.- 9 Analysis of students’ class status based on deep learning, etc.
