Abstract: It makes further research on estimating the parameters of logistic curve on based of the present document, and an improved method for estimating the parameters of logistic curve-improved particle swarm optimization method was presented. It does not require gradient computation, and intends to produce faster and more accurate convergence. The sampling calculation shows that parameter estimation method is higher precise.

Key words: Logistic curve, Parameter estimation, Particle swarm optimization

摘要： 在现有文献研究的基础上，对生长曲线参数估计问题作了进一步的研究，给出了生长曲线参数估计的一个新方法—改进的微粒群最优化方法。该算法不需要计算梯度，容易应用于实际问题中。通过对微粒群算法的修正，使改进算法具有更加精确和快速的收敛性。实例计算表明，这种参数估计发具有较高的精度。

关键词: 生长曲线, 参数估计, 微粒群最优化