NDLI: A cognitive model with growing structure and its application to learning to control the inverted pendulum

Content Provider	IEEE Xplore Digital Library
Author	Zhang Shao-Bai Ruan Xiao-Gang Cheng Xie-Feng Feng Zhi-Quan
Copyright Year	2009
Description	Author affiliation: College of Computer, Nanjing University of Posts and Telecommunications, Jiangsu 210003, China (Zhang Shao-Bai; Cheng Xie-Feng) \|\| School of Information Science and Engineering, Jinan University, Shandong 250022, China (Feng Zhi-Quan) \|\| College of Electronic Information and Control Engineering, Beijing University of Technology, 100022, China (Ruan Xiao-Gang)
Abstract	A growing cognitive model of motor balance skill, which simulates the manners of human beings and animals in motor balance skill learning, is constructed. A neuro-controller based on the model is proposed to balance an inverted pendulum. The cognitive model, whose architecture is similar to the reflex arc of the biologic nerve, adopts a growing algorithm from reference to Growing Cell Structures in order to perform the pattern classification in the nerve center. This growing mechanism is able to be evolved through the continuous growing of the new nerve cell. And reinforcement Hebbian Synaptic Modification is used as the self-learning method in the cognitive model to make the neurons in difference fields to respond to the different stimulus in the best way. The experimental results are shown that the growing cognitive model can interact autonomously with the environment and develop the motor balance skill by the growing manners of neural system itself.
Starting Page	4361
Ending Page	4364
File Size	262374
Page Count	4
File Format	PDF
ISBN	9781424427222
DOI	10.1109/CCDC.2009.5192401
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological system modeling Neurons Humans Control systems Telecommunication control Biological information theory Neural networks Animal structures Pattern classification Cells (biology) Inverted Pendulum Cognitive model Growing Cell Structures
Content Type	Text
Resource Type	Article

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