A study of autonomous robot behavior using the LAPART neural architecture

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2001, Pages 2171-2175

  Gao, Z ^a   Healy, M J ^a   Caudell, T P ^a  

^a UNIVERSITY OF NEW MEXICO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; LEARNING ALGORITHMS; MOTION CONTROL; NEURAL NETWORKS; ROBOTICS; SEMANTICS; SENSOR DATA FUSION; THEOREM PROVING;

FORMAL SEMANTIC ANALYSIS; NEURAL ARCHITECTURE; SUPERVISED LEARNING;

ROBOT LEARNING;

EID: 0034862220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Guaranteed two pass convergence for supervised and inferential learning
2. A neural architecture for pattern sequence verification through inferencing
3. Studies of rule acquisition with the LAPART neural network
4. Acquiring rule sets as a product of learning in a logical neural architecture
5. A topological semantics for rule extraction with neural networks
6. A massively parallel architecture for a self organizing neural pattern recognition machine. Computer vision
7. Studies of generalization for the LAPART-2 architecture
8. Discrete stack internal representations and fuzzy ART1
9. Realtime visualization of the learning processes in the LAPART neural architecture as it controls a simulated autonomous vehicle