Five-Layer Intelligence of the Machine Brain

1. Front Matter

   Pages i-xii

   PDF

2. Structure of a Machine Brain

   • Wen-Feng Wang, Xi Chen, Tuozhong Yao

   Pages 1-15

3. The First Intelligence Layer—Environments Sensing

   • Wen-Feng Wang, Xi Chen, Tuozhong Yao

   Pages 17-34

4. The Second Intelligence Layer—Active Learning

   • Wen-Feng Wang, Xi Chen, Tuozhong Yao

   Pages 35-74

5. The Third Intelligence Layer—Cognitive Computing

   • Wen-Feng Wang, Xi Chen, Tuozhong Yao

   Pages 75-120

6. The Fourth Intelligence Layer-Intelligent Decisions Making

   • Wen-Feng Wang, Xi Chen, Tuozhong Yao

   Pages 121-135

7. The Fifth Intelligence Layer—Automatized Execution

   • Wen-Feng Wang, Xi Chen, Tuozhong Yao

   Pages 137-177

8. Applications in Face Recognition Access Control Manufacturing

   • Wen-Feng Wang, Xi Chen, Tuozhong Yao

   Pages 179-214

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.

• Machine intelligence
• Face recognition
• System modelling
• Computer vision
• Principal component analysis

• School of Electronic and Electrical Engineering, Shanghai Institute of Technology, Shanghai, China

  Wen-Feng Wang

• Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China

  Xi Chen

• School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, China

  Tuozhong Yao

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.

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