Paper Title:
Assembler Encoding versus Connectivity Matrix Encoding in the Inverted Pendulum Problem with a Hidden State
  Abstract

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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