A new method to improve pressure sensor precision based on RBF neural network

Chinese Journal of Sensors and Actuators

Volumn 17, Issue 4, 2004, Pages 640-642

  Zhao, Wang Da ^a   Liu, Yong Qiuo ^a   He, Yi ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Precision; Pressure sensor; Radial basis function neural network; Temperature compensation; Temperature sensor ds18b20

Indexed keywords

ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; TEMPERATURE MEASUREMENT;

PRECISION; PRESSURE SENSORS; RADIAL BASIS FUNCTION NEURAL NETWORKS; TEMPERATURE COMPENSATION; TEMPERATURE SENSOR DS18B20;

SENSORS;

EID: 19544362913     PISSN: 10041699     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Monica Bianchini. Learning without local minim in radial basis function networks[J]. IEEE Trans. On Neural Networks, 1995, 6(3): 749-755.
2. Yao Xin. Evolving artificial neural networks[J]. Proceedings of the IEEE, 1999, 87(9): 1432-1447.
3. Catelsni M, Fort A. Fault diagnosis of electronic analog circuit using a radial basis function network classifier [J]. Measurement, 2002, 28: 147-148.