20+ Million Readerbase
Indexed In
  • Genamics JournalSeek
  • RefSeek
  • Hamdard University
  • EBSCO A-Z
  • OCLC- WorldCat
  • Publons
  • Euro Pub
  • Google Scholar
Share This Page
Recommended Webinars & Conferences
Journal Flyer
Flyer image

Qiangfu Zhao

Qiangfu Zhao
System Intelligence Laboratory, University of Aizu,
Aizuwakamatsu, Fukushima
Japan

Publications
  • Editorial
    Self-organization and Intelligence
    Author(s): Qiangfu ZhaoQiangfu Zhao

    Self-organization (SO) is one of the key issues for generating true intelligence. Without SO, human brains and human societies will just be chaotic systems. The basic SO mechanism is the Leader-Following (LF) behavior. With LF behavior, a complex system can become very well organized after many generations. Without LF behavior, however, even a relatively small dynamic system can become intractable. In fact, the basic learning rule in the well-known Self-Organizing Map (SOM) algorithm is LF. Here, for any given data point, neurons close to the winner tries to imitate the winner, so that they can behave in a similar way for similar data. The basic learning rule in Particle Swarm Optimization (PSO) is also LF. In PSO, each particle tries to imitate the behavior of the local or global leader, while trying to preserve its own search history. Thus, although SOM .. Read More»
    DOI: 10.4172/2090-4908.1000e104

    Abstract PDF