Choice of Optimum Model Parameters in Artificial Neural Networks and Application to X-ray Fluorescence Analysis

X-Ray Spectrometry

Volumn 26, Issue 1, 1997, Pages 15-22

  Luo, Liqiang ^a,b   Guo, Changlin ^a   Ma, Guangzu ^b   Ji, Ang ^a  

^a SHANGHAI INSTITUTE OF CERAMICS   (China)

^b The Geological Analysis Center   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FLUORESCENCE; LEAST SQUARES APPROXIMATIONS; X RAY ANALYSIS;

ARTIFICIAL NEURAL NETWORK MODELING; EMPIRICAL PARAMETERS; MATRIX; MODELING PARAMETERS; NEURAL APPLICATIONS; OPTIMUM MODEL; OPTIMUM PARAMETERS; RANDOM PARAMETERS; TRAINING SPEED; X RAY FLUORESCENCE ANALYSIS;

NEURAL NETWORKS;

EID: 0042467321     PISSN: 00498246     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-4539(199701)26:1<15::AID-XRS182>3.0.CO;2-8     Document Type: Article

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