Logistic曲线参数回归问题及其应用研究

提出了一种利用基因算法求logistic曲线参数的回归方法，同时给出了这种方法在研究计算机技术扩散过程中的应用。并将所得参数与文献给出的logistic曲线参数进行比较，结果表明，用基因算法确定的曲线公式所得计算值比用一般回归方法所得值与实际值更加吻合，说明基因算法在回归问题中具有很高的应用价值。

Research for Regressive Method in the Question of Logistic Curve Parameters

A regressive method based on improved genetic algorithms (GAs) is provided to attain the logistic curve parameters. The regressive method in the diffusion of compute technology is applied, and the results gained by the method are compared with the ones given in the documents. It is shown that the calculating value gained from the curve formula defined by the improved GAs matches the actual value much better than the one of the normal regressive method. it proves that the improved GAs possess high application value in the regressive question.