A Note on Learning Automata Based Schemes for Adaptation of BP Parameters
نویسندگان
چکیده
In this paper, we study the ability of learning automata-based schemes in escaping from local minima when standard backpropagation (BP) fails to 2nd the global minima. It is demonstrated through simulation that learning automata-based schemes compared to other schemes such as SAB, Super SAB, Fuzzy BP, adaptive steepness method, and variable learning rate method have a higher ability to escape from local minima. c © 2002 Elsevier Science B.V. All rights reserved.
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ورودعنوان ژورنال:
- Neurocomputing
دوره 48 شماره
صفحات -
تاریخ انتشار 2000