【摘要】 <正> 一、前言 逻辑斯谛方程(Logistic equation)指出了有限空间种群增长的基本规律,是研究种群动态的重要工具。长期以来,人们运用逻辑斯谛方程处理实验数据,得出了种种曲线拟合的方法。然而,这些方法都存在着一定的缺点,使逻辑斯谛方程的应用受到某些限制。随着种群生态学的不断发展,对实验数据的处理要求更精确、更迅速,因此进一步探讨曲线拟合更多还原

【Abstract】 The common methods to fit the Logistic Curve have some disadvantages that the obtained result is indeterminate and variant, and there is no objective standard to judge it. This paper provides an optimization method of enumeration, which is well reflected in our determination of the parameters K, a and r. The procedure is that we first utilize the digital computer to determine the parameters K, a and r, and then compare one after another by the objective standard of search as a result of our obtaining the more exact values of these parameters within a very short time. The result shows that this method fit the Logistic Curve generally.更多还原