摘要
本文在应用逻辑斯蒂方程进行作物单产预测中,对有关参数的确定和优化进行了探讨,并综合应用回归分析和马尔柯夫链对误差进行了处理,提高了预测的精度。
This artical uses the Logistic eguation to predict per unit crop yield, and discusses how to decide and optimize the parameters of the equation,and employs regression analysis and the Markov chain to analysisthe errors. It improves the precision and reliability of the prediction. The results are tested by the data of per unit rice yield in HuaiYin,JiangSu province.
出处
《南京师大学报(自然科学版)》
CAS
CSCD
1991年第3期100-105,共6页
Journal of Nanjing Normal University(Natural Science Edition)
关键词
逻辑斯蒂方程
马氏链
作物单产
Logistic equation, Regression analysis, Markov chain.