Bayesian neural networks for life modeling and prediction of dynamically tuned gyroscopes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3174, Issue , 2004, Pages 749-754

  Fan, Chunling ^a,b   Gao, Feng ^c   Jin, Zhihua ^b  

^a QINGDAO UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c HAIER GROUP   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPLEX NETWORKS; FORECASTING; GYROSCOPES; NEURAL NETWORKS;

BAYESIAN APPROACHES; BAYESIAN METHODS; BAYESIAN NEURAL NETWORKS; COMPLEX MODEL; CONFIDENCE INTERVAL; DYNAMICALLY TUNED GYROSCOPES; PRIOR KNOWLEDGE; STANDARD NEURAL;

KNOWLEDGE BASED SYSTEMS;

EID: 33646781766     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28648-6_120     Document Type: Article

References (4)

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4. Radford, M., Neal: Probabilistic Inference Using Markov Chain Monte Carlo Methods, Technical Report CRG-TR-93-1, (1993) 47-86