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Volumn , Issue , 2010, Pages 900-904

Resilient back-propagation neural network for approximation 2-D GDOP

Author keywords

Back propagation neural network (BPNN); Geometric dilution of precision (GDOP); Resilient back propagation (Rprop); Time of arrival (TOA)

Indexed keywords

ARTIFICIAL NEURAL NETWORK APPROACH; BACK-PROPAGATION NEURAL NETWORKS; CELLULAR COMMUNICATION SYSTEMS; DETERMINATION ERROR; GEOMETRIC DILUTION OF PRECISION; GEOMETRIC DILUTION OF PRECISION (GDOP); GEOMETRIC EFFECTS; IMPLEMENTATION METHODS; LOCATION ESTIMATION; MATRIX INVERSION METHODS; MEASUREMENT UNITS; NOVEL ARCHITECTURE; OPTIMAL POSITION; PROPOSED ARCHITECTURES; REAL-TIME APPLICATION; RESILIENT BACKPROPAGATION; SELECTION CRITERIA; SIMULATION RESULT; TIME OF ARRIVAL (TOA);

EID: 79952387243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (13)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.