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International Journal of Advances in Computer Science and Its Applications

Fuzzification using Approximation with Fuzzy Controllers to Extract Structure and Motion Environments in Dynamic Humanoid Robotic System from the Opted and Forced Uncertainty by Quantization in Nonmonotone Neural Networks



Fuzzy controllers are special expert systems .Each employs a knowledge base,expressed in terms of relevant fuzzy inference rules, and an appropriate inference engine to solve this control problem which vary substantially according to the nature of the control problems in this research the control problem is a complex task in this robotics research which require a multitude of coordinated actions such a s maintaining a prescribed state of single variable ,which are capable of utilizing knowledge elicited from human operators extended to dynamic robotic system with nonmonotone neural networks.

No fo Author(s) : 1
Page(s) : 258-262
Electronic ISSN : 2250 - 3765
Volume 8 : Issue 1
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