Journal
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE
Volume 18, Issue 2, Pages 117-127Publisher
UNIV ZIELONA GORA PRESS
DOI: 10.2478/v10006-008-0011-1
Keywords
supervised learning; spiking neural networks; parametric analysis; learning window
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In this paper we perform an analysis of the learning process with the ReSuMe method and spiking neural networks (Ponulak, 2005; Ponulak, 2006b). We investigate how the particular parameters of the learning algorithm affect the process of learning. We consider the issue of speeding up the adaptation process, while maintaining the stability of the optimal solution. This is an important issue in many real-life tasks where the neural networks are applied and where the fast learning convergence is highly desirable.
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