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Access Control on Grid Resources Using Radial Basis Function Neural Network

✍ Scribed by Punam Bedi; Bhavna Gupta; Harmeet Kaur


Book ID
118494190
Publisher
Elsevier
Year
2012
Weight
348 KB
Volume
4
Category
Article
ISSN
2212-0173

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## Abstract In this paper, we examine the control of robot manipulators utilizing a Radial Basis Function (RBF) neural network. We are able to remove the typical requirement of Persistence of Excitation (PE) for the desired trajectory by introducing an __error minimizing dead‐zone__ in the learning