A multi-module artificial neural network approach to pattern recognition with optimized nanostructured sensor array

Sensors and Actuators, B: Chemical

Volumn 117, Issue 1, 2006, Pages 65-73

  Shi, Xiajing ^a   Wang, Lingyan ^b   Kariuki, Nancy ^b   Luo, Jin ^b   Zhong, Chuan Jian ^b   Lu, Susan ^a  

^a State University of New York at Binghamton   (United States)

^b BINGHAMTON UNIVERSITY   (United States)

Author keywords

Nanostructures; Neural networks; Pattern recognition; Selectivity; Sensor array; Volatile organic compounds

Indexed keywords

ACTUATORS; NANOSTRUCTURED MATERIALS; NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION; SENSITIVITY ANALYSIS; VOLATILE ORGANIC COMPOUNDS;

ARTIFICIAL NEURAL NETWORK(ANN); MULTI-MODULE METHOD; OMAC; SELECTIVITY; SENSOR ARRAY;

SENSORS;

EID: 33745713714     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2005.11.002     Document Type: Article

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