A self-organizing neural network for learning and recall of complex robot trajectories (2000)
- Authors:
- USP affiliated author: ARAUJO, ALUIZIO FAUSTO RIBEIRO - EESC
- School: EESC
- Subject: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- Conference title: Symposium on Engineering of Intelligent Systems
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ABNT
ARAÚJO, Aluízio Fausto Ribeiro; BARRETO, Guilherme de A. A self-organizing neural network for learning and recall of complex robot trajectories. Anais.. Canada: ICSC, 2000. -
APA
Araújo, A. F. R., & Barreto, G. de A. (2000). A self-organizing neural network for learning and recall of complex robot trajectories. In Proceedings. Canada: ICSC. -
NLM
Araújo AFR, Barreto G de A. A self-organizing neural network for learning and recall of complex robot trajectories. Proceedings. 2000 ; -
Vancouver
Araújo AFR, Barreto G de A. A self-organizing neural network for learning and recall of complex robot trajectories. Proceedings. 2000 ; - Unsupervised context-based learning of multiple temporal sequences
- Goal-directed reinforcement learning using variable learning rate
- Neural network system based on associative memory to perform trajetory generation and inverse kinematics
- Rede neural com recorrencia global e recorrencia local para planejamento
- Planejamento de trajetoria de um robo movel (agv) usando redes neurais nao-supervisionadas e tecnicas de ia
- Temporal multidirectional associative memory generating spatial trajectories
- Temporal multidirectional associative memory: adaptable, continuos, and self-connected MAM
- Roteamento alternativo em redes de telecomunicações baseado no comportamento de formigas
- Agent-oriented routing in telecommunications networks
- A reactive rule-based system for trajectory planning of a mobile robot with few sensory resources
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