Five-layer Intelligence of the Machine Brain: System Modelling and Simulation - Rilegato

Wang, Wen-feng; Chen, XI; Yao, Tuozhong

Rilegato

ISBN 10: 9811902712 ISBN 13: 9789811902710

Casa editrice: Springer Nature, 2022

Riassunto

This book intends to report the new results of the efforts on the study of Layered Intelligence of the Machine Brain (LIMB). The book collects novel research ideas in LIMB and summarizes the current machine intelligence level as “five layer intelligence”- environments sensing, active learning, cognitive computing, intelligent decision making and automatized execution. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms, and applications of LIMB.<div><br></div>

Su questo libro

Informazioni sull?autore

Wenfeng Wang is currently a full professor of School of Electrical and Electronic Engineering, Shanghai Institute of Technology and the director of International Academy of Visual Art and Engineering LTD. He has been invited as the editor in chief of International Journal of Electronics and Electrical Engineering. He is also a key talent in Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences (2018- ). A reviewer of many SCI journals, including some top journals - Water Research, Science China-Information Sciences, Science of the Total Environment, Environmental Pollution, IEEE Transactions on Automation Science and Engineering and etc. A keynote speaker of AMICR2019, IACICE2020, OAES2020, AICS2021, 3DIT-MSP&DL2020 and etc. A scientist in chief of RealMax, Shanghai Lingang Artificial Intelligence Laboratory and etc.<div><br></div><div>Xi Chen is currently leader at Xinjiang Branch Chinese Academy of Sciences (CAS). He received Ph.D. from Wuhan University in 2003. He is an outstanding youth winner of CAS, an expert enjoying special government allowance, a national excellent worker. He received special prize of science and technology progress award of Xinjiang Autonomous Region, a gold award of Heliang Heli, an advanced individual of innovation and culture of CAS, a national candidate for the new century talent project, and outstanding expert of Urumqi, top 10 of Xinjiang Uygur Autonomous Region. He is also president of NEESPI-Central Asia, vice president of China Society of natural resources, executive director of China Association of remote sensing applications, President of Xinjiang Society of natural resources and President of Xinjiang Association of remote sensing applications.</div>&nbsp;<div>Tuozhong Yao is an associate Professor in Ningbo University of Technology, China. He once served as an intellectual property expert of Ningbo "invention patent incremental quality improvement service project" and a member of the intellectual property expert group of Ningbo intermediate people's court. His main research direction is computer vision and machine learning. He has published nearly 20 SCI/EI papers and undertaken a number of national and Provincial Natural Science Foundation projects.</div>

Dalla quarta di copertina

This book intends to report the new results of the efforts on the study of Layered Intelligence of the Machine Brain (LIMB). The book collects novel research ideas in LIMB and summarizes the current machine intelligence level as “five layer intelligence”- environments sensing, active learning, cognitive computing, intelligent decision making and automatized execution. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms, and applications of LIMB.

Dettagli dell'edizione

• Editore: Springer Nature
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 9811902712
• ISBN 13: 9789811902710
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 228
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania