| 来源类型 | Conference or Workshop Item (UNSPECIFIED) |
| 规范类型 | 其他 |
| Evolving structure and function of neurocontrollers. | |
| Pasemann F; Steinmetz U; Dieckmann U | |
| 发表日期 | 1999 |
| 出处 | CEC 99: Proceedings of the 1999 Congress on Evolutionary Computation, 6-9 July 1999 |
| 出版年 | 1999 |
| 语种 | 英语 |
| 摘要 | The presented evolutionary algorithm is especially designed to generate recurrent neural networks with non-trivial internal dynamics. It is not based on genetic algorithms, and sets no constraints on the number of neurons and the architecture of a network. Network topology and parameters like synaptic weights and bias terms are developed simultaneously. It is well suited for generating neuromodules acting in sensorimotor loops, and therefore it can be used for evolution of neurocontrollers solving also nonlinear control problems. We demonstrate this capability by applying the algorithm successfully to the following task: a rotating pendulum is mounted on a cart; stabilize the rotator in an upright position, and center the cart in a given finite interval... |
| 主题 | Adaptive Dynamics Network (ADN) |
| URL | http://pure.iiasa.ac.at/id/eprint/5849/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131975 |
| 推荐引用方式 GB/T 7714 | Pasemann F,Steinmetz U,Dieckmann U. Evolving structure and function of neurocontrollers.. 1999. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
