摘要
用广义逻辑斯谛曲线模型及预测饱和增长趋势，解释了该模型包含的实际生物学意义，并给出了相应的参数估计算法，对褐飞虱Nilaparvatalugens（Stal）种群资料进行具体的分析，结果与其它模型相比，拟合程度高，用广义逻辑斯谛曲线模型作为预报，可以提高预测的效果。
In this paper, the general logishic model is fitting and predicting growth with saturation and related algorithm is developed for estimating the parameters, the model has higher accunacy of fitting and predicting than logistic model or gompertz model. Forecasting Nilaparvata lugens (Stal) populations were also computed in some detail.
出处
《昆虫知识》
CSCD
1997年第4期193-195,共3页
Entomological Knowledge
关键词
逻辑斯谛曲线
褐飞虱
稻虱
预测预报
数学模型
general logistic curve, Nilaparvata lugens(stal) population, forecasting predition
