A recurrent neural network for non-smooth nonlinear programming problems

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn , Issue , 2007, Pages 596-601

  Cheng, Long ^a   Hou, Zeng Guang ^a   Tan, Min ^a   Wang, Xiuqing ^a   Zhao, Zengshun ^a   Hu, Sanqing ^b  

^a INSTITUTE OF AUTOMATION   (China)

^b MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIFFERENTIAL EQUATIONS; DYNAMIC PROGRAMMING; IMAGE CLASSIFICATION; MATHEMATICAL PROGRAMMING; NONLINEAR PROGRAMMING; PARAMETER ESTIMATION; PILE FOUNDATIONS; RECURRENT NEURAL NETWORKS; REINFORCEMENT LEARNING; VEGETATION;

DIFFERENTIAL INCLUSIONS; ILLUSTRATIVE EXAMPLES; INEQUALITY CONSTRAINTS; JOINT CONFERENCE; NONLINEAR PROGRAMMING PROBLEMS; OPTIMAL SOLUTIONS; OPTIMIZ ATION PROBLEMS; PENALTY PARAMETERS; PROGRAMMING PROBLEMS;

NEURAL NETWORKS;

EID: 51949095894     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4371024     Document Type: Conference Paper

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