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。

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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。

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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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In fact, fitting any simple curve to the data does no better than the straight line.

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