Novel pattern recognition-artificial neural networks applied to synthesis design of La3+-doped BaTiO3nanosize poly crystals

Proceedings of the IEEE Conference on Nanotechnology

Volumn 2001-January, Issue , 2001, Pages 446-449

  Liu, Guohua ^a   Liu, Jingbo ^a   Bao, Hong ^a   Li, Wenchao ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BARIUM COMPOUNDS; CRYSTALLINE MATERIALS; DESIGN; DOPING (ADDITIVES); FORECASTING; HUMIDITY SENSORS; NANOSENSORS; NANOTECHNOLOGY; NEURAL NETWORKS; POLYCRYSTALS; POWDERS; SOL-GEL PROCESS; STATISTICAL PROCESS CONTROL; SYNTHESIS (CHEMICAL);

CALCINATION TEMPERATURE; HUMIDITY SENSITIVITY; MODIFIED PARAMETERS; MULTI-DIMENSIONAL SPACE; POLYCRYSTALLINE POWDERS; SYNTHESIS PARAMETERS; TWO DIMENSIONAL SPACES; TWO-DIMENSIONAL PROJECTION;

PATTERN RECOGNITION;

EID: 84949234488     PISSN: 19449399     EISSN: 19449380     Source Type: Conference Proceeding    
DOI: 10.1109/NANO.2001.966463     Document Type: Conference Paper

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