Efficient representation of recurrent neural networks for Markovian/non-Markovian non-linear control problems

Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

Volumn , Issue , 2010, Pages 615-620

  Khan, Maryam Mahsal ^a   Khan, Gul Muhammad ^a   Miller, Julian F ^b  

^a UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Pakistan)

^b UNIVERSITY OF YORK   (United Kingdom)

Author keywords

Artificial neural network; NeuroEvolution; NonLinear control problems; Pole balancing; Recurrent networks

Indexed keywords

ARTIFICIAL NEURAL NETWORK; NEUROEVOLUTION; NONLINEAR CONTROL PROBLEMS; POLE BALANCING; RECURRENT NETWORKS;

GENETIC ALGORITHMS; GENETIC PROGRAMMING; INTELLIGENT SYSTEMS; LINEAR CONTROL SYSTEMS; NETWORK ARCHITECTURE; POLES; PROBLEM SOLVING; SYSTEMS ANALYSIS;

RECURRENT NEURAL NETWORKS;

EID: 79851491485     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2010.5687197     Document Type: Conference Paper

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