Assembler Encoding versus Connectivity Matrix Encoding in the Inverted Pendulum Problem with a Hidden State |
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| Journal | Solid State Phenomena (Volume 164) |
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| Volume | Mechatronic Systems and Materials: Mechatronic Systems and Robotics |
| Edited by | Andrejus H. Marcinkevičius and Algirdas V.Valiulis |
| Pages | 233-238 |
| DOI | 10.4028/www.scientific.net/SSP.164.233 |
| Citation | Tomasz Praczyk, 2010, Solid State Phenomena, 164, 233 |
| Online since | June, 2010 |
| Authors | Tomasz Praczyk |
| Keywords | Evolutionary Neural Network |
| 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. |
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