A SELF-IMPROVING FUZZY CEREBELLAR MODEL ARTICULATION CONTROLLER WITH STOCHASTIC ACTION GENERATION

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Hwang, Kao-Shing, and Yuan-Pao Hsu. “A SELF-IMPROVING FUZZY CEREBELLAR MODEL ARTICULATION CONTROLLER WITH STOCHASTIC ACTION GENERATION”. Cybernetics and Systems, vol. 33, no. 2, 2002, pp. 101-28, https://doi.org/10.1080/019697202753435890.
Hwang, K.-S., & Hsu, Y.-P. (2002). A SELF-IMPROVING FUZZY CEREBELLAR MODEL ARTICULATION CONTROLLER WITH STOCHASTIC ACTION GENERATION. Cybernetics and Systems, 33(2), 101-128. https://doi.org/10.1080/019697202753435890
Hwang KS, Hsu YP. A SELF-IMPROVING FUZZY CEREBELLAR MODEL ARTICULATION CONTROLLER WITH STOCHASTIC ACTION GENERATION. Cybernetics and Systems. 2002;33(2):101-28.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
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Refrences
Title Journal Journal Categories Citations Publication Date
10.1109/TSMC.1983.6313077 IEEE Transactions on Systems, Man, and Cybernetics 1983
10.1109/TSMC.1983.6313077 1992
10.1007/BF00992696
Smooth trajectory tracking of three-link robot: a self-organizing CMAC approach IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 30 1998
Acquiring robot skills via reinforcement learning IEEE Control Systems
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
 57 1994
Citations
Title Journal Journal Categories Citations Publication Date
CONTINUOUS Q-LEARNING FOR MULTI-AGENT COOPERATION Cybernetics and Systems
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
 2012
Adaptive Fuzzy Cerebellar Model Articulation Controller for Two-Wheeled Robot

 Advanced Materials Research 2012
RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction Expert Systems with Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 9 2011
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Technology: Mechanical engineering and machinery2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Technology: Engineering (General). Civil engineering (General)2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Manufactures: Production management. Operations management1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction and was published in 2011. The most recent citation comes from a 2012 study titled CONTINUOUS Q-LEARNING FOR MULTI-AGENT COOPERATION. This article reached its peak citation in 2012, with 2 citations. It has been cited in 3 different journals. Among related journals, the Cybernetics and Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year