首页 /研究 /Hierarchical artificial neural network architecture
LEARNING

Hierarchical artificial neural network architecture

R.K. Speer, Wayne Moore

发表年份
2002
引用次数
4

摘要

This paper presents a hierarchical artificial neural network (HANN) architecture which is shown to be superior to the traditional three layer feedforward neural network for the neurocontrol of mobile robots in terms of robustness and adaptability with implications for application areas other than robotics.

关键词

Artificial neural networkComputer scienceAdaptabilityArtificial intelligenceRobustness (evolution)Time delay neural networkMobile robotArchitectureNervous system network modelsFeedforward neural network

相关论文

查看 LEARNING 分类全部论文