Title :
Sensor data processing using genetic algorithms
Author :
Hauser, James W. ; Purdy, Carla N.
Author_Institution :
Cincinnati Univ., OH, USA
Abstract :
An off-the-shelf package is commonly used to generate an approximating polynomial from partial sensor data. The floating-point coefficients are rounded to the target architecture´s size. Rounding errors can actually be due to this solution space translation. A genetic algorithm can be used to find the optimal coefficient set in the restricted target space
Keywords :
array signal processing; floating point arithmetic; genetic algorithms; polynomial approximation; roundoff errors; sensor fusion; approximating polynomial; floating-point coefficients; genetic algorithms; optimal coefficient set; partial sensor data; rounding errors; sensor data processing; solution space translation; Application specific integrated circuits; Data processing; Function approximation; Genetic algorithms; Neural networks; Packaging; Polynomials; Temperature sensors; Thermistors; Voltage;
Conference_Titel :
Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on
Conference_Location :
Lansing, MI
Print_ISBN :
0-7803-6475-9
DOI :
10.1109/MWSCAS.2000.951410
