Fluctuation-driven learning rule for continuous-time recurrent neural networks and its application to dynamical system control
| Autor: | Kazuhisa Watanabe, Noboru Kudo, Takahiro Haba, Takahumi Oohori |
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| Rok vydání: | 2001 |
| Předmět: |
Artificial neural network
business.industry Computer science Time delay neural network Control (management) Machine learning computer.software_genre Dynamical system Theoretical Computer Science Recurrent neural network Computational Theory and Mathematics Hardware and Architecture Learning rule Feedforward neural network Artificial intelligence Types of artificial neural networks business computer Information Systems |
| Zdroj: | Systems and Computers in Japan. 32:14-23 |
| ISSN: | 1520-684X 0882-1666 |
| Databáze: | OpenAIRE |
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