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Five-Layer Intelligence of the Machine Brain: System Modelling and Simulation de Wen-Feng Wang

Five-Layer Intelligence of the Machine Brain: System Modelling and Simulation: Research on Intelligent Manufacturing

Autor Wen-Feng Wang, Xi Chen, Tuozhong Yao
en Limba Engleză Paperback – 17 mar 2023
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.

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Specificații

ISBN-13: 9789811902741
ISBN-10: 9811902747
Pagini: 214
Ilustrații: XII, 214 p. 101 illus., 64 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Research on Intelligent Manufacturing

Locul publicării:Singapore, Singapore

Cuprins

Structure of a machine brain.- The first intelligence layer - environments sensing.- The second intelligence layer - active learning.- The third intelligence layer - cognitive computing.- The fourth intelligence layer - intelligent decisions making.- The fifth intelligence layer - automatized execution.- Applications in Face Recognition Access Control Manufacturing.

Notă biografică

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.

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.
 
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 intellectualproperty 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.

Textul de pe ultima copertă

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.

Caracteristici

The first book introducing the machine brain as five-layer intelligence Presents a theoretical explanation on the real intelligence with face recognition examples. Includes a whole framework of technologies in system modelling and simulation.