International Journal of applied mathematics and computer science

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Paper details

Number 2 - June 2008
Volume 18 - 2008

Analysis of the ReSuMe learning process for spiking neural networks

Filip Ponulak

Abstract
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.

Keywords
supervised learning, spiking neural networks, parametric analysis, learning window

DOI
10.2478/v10006-008-0011-1