Assembler Encoding versus Connectivity Matrix Encoding in the Inverted Pendulum Problem with a Hidden State

Abstract:

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Assembler Encoding is Artificial Neural Network encoding method. To date Assembler Encoding has been tested in the optimization problem and in the so-called predator-prey problem. The paper reports experiments in a next test problem, i.e. in the inverted pendulum problem. During the experiments two direct encodings were also tested in order to compare Assembler Encoding with other Artificial Neural Network encoding methods.

Info:

Periodical:

Solid State Phenomena (Volume 164)

Edited by:

Andrejus H. Marcinkevičius and Algirdas V.Valiulis

Pages:

233-238

DOI:

10.4028/www.scientific.net/SSP.164.233

Citation:

T. Praczyk "Assembler Encoding versus Connectivity Matrix Encoding in the Inverted Pendulum Problem with a Hidden State", Solid State Phenomena, Vol. 164, pp. 233-238, 2010

Online since:

June 2010

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$35.00

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