Resilient back-propagation Neural Network for approximation Weighted Geometric Dilution of Precision

Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010

Volumn 7, Issue , 2010, Pages 53-58

  Chen, Chien Sheng ^a   Su, Szu Lin ^b   Shou, He Nian ^c   Liu, Wen Hsiung ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b AIR FORCE INSTITUTE OF TECHNOLOGY   (Taiwan)

^c ALETHEIA UNIVERSITY   (Taiwan)

Author keywords

Back propagation neural network (BPNN); Resilient back propagation (Rprop); Weighted Geometric Dilution of Precision(WGDOP)

Indexed keywords

ARTIFICIAL NEURAL NETWORK APPROACH; BACK-PROPAGATION NEURAL NETWORKS; CELLULAR COMMUNICATION SYSTEMS; GEOMETRIC DILUTION OF PRECISION; IMPLEMENTATION METHODS; MATRIX INVERSION METHODS; MEASUREMENT UNITS; NOVEL ARCHITECTURE; PROPOSED ARCHITECTURES; RESILIENT BACK-PROPAGATION (RPROP); RESILIENT BACKPROPAGATION; SIMULATION RESULT; WEIGHTED GEOMETRIC DILUTION OF PRECISION(WGDOP);

BACKPROPAGATION; COMMUNICATION SYSTEMS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; COMPUTER SCIENCE; DILUTION; GEOMETRY; GLOBAL POSITIONING SYSTEM; INFORMATION TECHNOLOGY; NETWORK ARCHITECTURE; POSITION CONTROL; TORSIONAL STRESS; UNITS OF MEASUREMENT; WIRELESS SENSOR NETWORKS;

NEURAL NETWORKS;

EID: 77958573589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSIT.2010.5563546     Document Type: Conference Paper

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