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Volumn 117, Issue 6, 2010, Pages 3160-3169
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Applying soft computing methods to fluorescence modeling of the polydimethylsiloxane/silica composites containing lanthanum
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Author keywords
Complexed lanthanum ions; Composites; Fluorescence modeling; Polysiloxanes; Stacked neural networks
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Indexed keywords
3-AMINOPROPYLTRIETHOXYSILANE;
AVERAGE NUMBERS;
COMPLEX PROCESSES;
COMPOSITES;
FLUORESCENCE INTENSITIES;
FREESTANDING FILMS;
GENERAL METHODOLOGIES;
LANTHANUM IONS;
MODELING PERFORMANCE;
MOLAR RATIO;
NEURAL NETWORK MODEL;
ONE-POT PROCEDURES;
PHOTOPHYSICAL PROPERTIES;
POLYSILOXANES;
REACTION MIXTURE;
REACTION SYSTEM;
SILICA FORMATION;
SILICA XEROGEL;
SOFT COMPUTING METHODS;
SOL-GEL SYSTEMS;
STACKED NEURAL NETWORKS;
TETRA-ETHYL-ORTHO-SILICATE;
CHEMICAL ELEMENTS;
CHEMICAL MODIFICATION;
FLUORESCENCE;
LANTHANUM;
LANTHANUM ALLOYS;
SILANES;
SILICA;
SILICA GEL;
SILICONES;
SOFT COMPUTING;
SOL-GELS;
NEURAL NETWORKS;
CHEMICAL COMPOSITION;
COMPLEXING AGENT;
COMPOSITE;
FILM;
FLUORESCENCE;
MOLECULAR WEIGHT;
NEURAL NETWORK;
PERFORMANCE ASSESSMENT;
POLYDIMETHYLSILOXANE;
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EID: 77955968143
PISSN: 00218995
EISSN: 10974628
Source Type: Journal
DOI: 10.1002/app.32167 Document Type: Article |
Times cited : (4)
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References (37)
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