物探化探计算技术
物探化探計算技術
물탐화탐계산기술
COMPUTING TECHNIQUES FOR GEOPHYSICAL AND GEOCHEMICAL EXPLORATION
2010年
1期
109-112
,共4页
城市生活用水量%灰色系统%马尔科夫
城市生活用水量%灰色繫統%馬爾科伕
성시생활용수량%회색계통%마이과부
city activity water quantity%gray system%Markov's model
这里首先对灰色系统理论GM(1,1)模型的算法进行改进,并将改进后的灰色模型与马尔科夫模型结合.通过对灰色系统预测数据的修正,既发挥了灰色系统预测精确的特点,又利用了马尔科夫模型对预测波动性数据准确的优势,对于在任何时间序列上展开的具有一定波动性的数据进行预测,精度更高.
這裏首先對灰色繫統理論GM(1,1)模型的算法進行改進,併將改進後的灰色模型與馬爾科伕模型結閤.通過對灰色繫統預測數據的脩正,既髮揮瞭灰色繫統預測精確的特點,又利用瞭馬爾科伕模型對預測波動性數據準確的優勢,對于在任何時間序列上展開的具有一定波動性的數據進行預測,精度更高.
저리수선대회색계통이론GM(1,1)모형적산법진행개진,병장개진후적회색모형여마이과부모형결합.통과대회색계통예측수거적수정,기발휘료회색계통예측정학적특점,우이용료마이과부모형대예측파동성수거준학적우세,대우재임하시간서렬상전개적구유일정파동성적수거진행예측,정도경고.
In this paper, we studied the arithmetical improvement of gray system GM(1,1) model, combination the improved gray model of markov's model and the betterment of the data that predicted by gray system.This theses develops the higher precision estimating system, and makes use of Markov's model to estimate fluctuant data. The data on time sequence and fluctuant can be predicted by the method, which got a very high estimate accuracy.
