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2004

A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm

9 years 11 months ago
A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm
In this paper we propose an Rprop modification that builds on a mathematical framework for the convergence analysis to equip Rprop with a learning rates adaptation strategy that ensures the search direction is a descent one. Our analysis is supported by experiments illustrating how the new learning rates adaptation strategy works in the test cases to ameliorate the convergence behaviour of the Rprop. Empirical results indicate that the new modification provides benefits when compared against the Rprop and a modification proposed recently, the Improved Rprop.
Aristoklis D. Anastasiadis, George D. Magoulas, Mi
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2004
Where ESANN
Authors Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis
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