This paper gives a new method evaluting the optimum fitting straight of sensors-the golden cut method(0.618 method).
介绍一种采用最优化方法—黄金分割法（0．618法）求解传感器最佳拟合直线的新方法。
In the light of the question of the relation between the sensor's linearity and fitting straight line, this paper builds mathematical model.
针对传感器的线性度与拟合直线的关系问题，建立数学模型。
To solve the non-linear problem of a biosensor, the least square method and the optimum technique have been applied to build a mathematical model to evaluate the optimum fitting straight.
针对苯丙氨酸解氨酶生物传感器非线性特性，依据最小二乘法理论，采用最优化技术，建立了最佳拟合直线的数学模型，并给出基于可编程控制器的数据拟合程序。
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