ISSN:
1433-3058
Keywords:
Adaptive linear elements
;
Backpropagation
;
Sliding mode concept
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
,
Mathematics
Notes:
Abstract An adaptive learning algorithm is proposed for a feedforward neural network. The design principle is based on the sliding mode concept. Unlike the existing algorithms, the adaptive learning algorithm developed does not require a prioriknowledge of upper bounds of bounded signals. The convergence of the algorithm is established and conditions given. Simulations are presented to show the effectiveness of the algorithm.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01428120
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