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Pulse Based Input for Echo State Neural Networks

Smit, P.G.J. (2011) Pulse Based Input for Echo State Neural Networks. Bachelor's Thesis, Artificial Intelligence.

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Abstract

Most papers demonstrating an Echo State Neural Network (ESNN) use a scale measure input to control the output. In this paper we describe and show the results for 6 different scenarios to find out what pulse-based amplitude modulation method is best. In these scenarios we vary the information offered on the pulse amplitude and the pulse width. Is information coded on these two independent variables processed with the same error and optimal parameters? Our results show that information on the pulse amplitude yields a lower error compared to information on the pulse width.

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 07:47
Last Modified: 15 Feb 2018 07:47
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/9994

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