用遗传算法拟合传感器的输出特性

Fitting Transducer Function Using Genetic Algorithms

本文提出了一种用遗传算法拟合传感器输出特性的新方法。结果表明采用这种方法，不仅能拟合Ｇａｕｓ－Ｎｅｗｔｏｎ等传统非线性最小二乘法难以处理的传感器输出特性。

This paper presents a new method of fitting transducer function using genetic algorithms. In this application, the genetic algorithm selects the coefficients of a particular transducer function that most closely matches a given set of data. The formulation and example show that the method is useful in the situation where many conventional least squares fitting methods fail. A fair degree of accuracy can be achieved with the method.