The improved Grey Markov prediction mode is built through uniting the improved grey model(1,1) and the Markov mode.
然后将其与马尔柯夫模型相结合，建立了改进的灰色马尔柯夫模型。
Based on ideals of improving on forecasting precision of the grey model, an improved grey forecasting algorithm was given.
基于改进灰色模型预测精度的思想，给出了一种改进的灰色模型预测算法。
Using improved euler method to solve the grey system model was simple and rapid. The predicted value accorded basically with the surveying value.
采用改进的欧拉算法求解灰色系统模型简单快捷，预测结果与实测值基本符合。
An improved grey GM (1, 1) model using a technique of nonlinear regression is proposed.
提出了一种结合非线性回归技术的灰色GM(1,1)模型的改进模型。
We establish and accomplish the improved GM (1, 1) forecast model for the forward price in power market, which is based on the grey theory.
建立和实现了基于灰色理论的电力市场期货价格的改进GM(1,1)预测模型。
This paper applies the improved grey GM (1, 1) model to the research of the present development trend of an oil field's general water percentage.
本文将改进的灰色GM(1,1)模型用于某油田年综合含水率的近期发展趋势研究。
The paper proposes the improved model of GM (1, 1) model which is called GSI (1, 1). GSI (1, 1) model is the combi - nation of grey system and seasonal index.
提出灰色GM(1.1)用电最预测模型的改进模型——灰色季节变动指数模型GSI(1,1)模型，将灰色预测方法与季节指数有机结合起来。
Due to the limitation of the grey system GM (1, 1) model in predicting the principal objective developing mineral resources, this paper puts forward for the improved GM (1, 1) model.
然后针对GM(1,1)预测模型在矿产资源开发总体目标预测应用中的局限性，提出了改进的滑动等维灰数递补预测模型。
Based on an example, the basic grey model, other improved models and combination grey model are used to forecast power load and results of all models are analyzed and compared.
以实际算例为基础，应用基本灰色预测模型和传统改进模型以及组合灰色预测模型分别对电力负荷进行了预测，并进行了分析比较。
By combining the grey prediction model with A. A. Mapkob, an improved model prediction method of the grey-A. A.
文章将灰色预测模型与马尔可夫链预测相结合，提出了改进的灰色-马尔可夫链模型预测方法。
It is testified by instance that the relative error of stimulated annealing grey model is smaller than traditional grey model's and it has improved the prediction precision.
经过实例检验，改进的模拟退火-灰色模型的相对误差比传统灰色模型小的多，提高了预测精度。
It is testified by instance that the relative error of stimulated annealing grey model is smaller than traditional grey model's and it has improved the prediction precision.
经过实例检验，改进的模拟退火-灰色模型的相对误差比传统灰色模型小的多，提高了预测精度。
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