The paper is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.
将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来，并运用于矿井瓦斯涌出量的预测中。
After the time series fuzzy fractal processing of the mine gas emission quantity, the non linear relations of the influence factors were combined with BP neural network.
通过对矿井瓦斯涌出量时间序列的模糊分形处理，用BP神经网络对影响因素间的非线性关系进行拟合。
This indicates that the series of prices of Yangtze River electric power stock is a fractal time series and presents obvious long memory.
这表明长江电力股票价格序列是一个分形时间序列，呈现明显的长记忆性特征。
The fluctuation characteristics of liquid slug length was discovered by using the statistics theory and fractal theory to analyze the time series of liquid slug length.
利用统计理论与分形理论分析液塞长度时间序列来揭示液塞长度波动特性。
In this paper the predictability of drillability time series was analyzed using fractal method based on the study of drillability time series characters.
本文从研究可钻性时间序列特征出发，应用分形几何方法，分析了可钻性时序的可预测性。
A new probabilistic function for studying the multi-fractal features on the volatility of variance of financial time series is proposed.
提出了一种新的概率函数计算方法，用于研究金融时间序列在方差波动方面的多重分形特征。
The EEG in lead - administrated rats is measured and analyzed using the method of chaotic time series analysis in this paper. The fractal dimension of EEG is determined.
利用混沌时间序列的分析方法，对铅中毒情况下的大鼠的脑电波进行了测试和分析，求出了其分形维数。
On the basis of the model and by applying time series analysis, it is discovered that the site measurement series of continuously dynamic gas emission possesses fractal property.
在此基础上，应用时序数据分析法，对实测得到的钻孔瓦斯涌出量序列进行计算分析，发现其具有分维特征。
We applied four methods to analyze the fractal characteristic of systolic blood pressure time series recorded from rats.
本文用四种方法分析了大鼠的收缩压时间序列的分维特性。
Further, through the phase space reconstruction of relating time series and fractal analysis, discussion to nonlinear evolution of the system with varying heating power is delivered.
通过对系统相关时序的相空间重构与分维分析，探讨了系统随加热功率变化的非线性演化规律。
Based on the statistical self-similarity of hydrolgy time series, a new approach for estimating the fractal dimension by using successive wavelet transform coefficients is proposed.
根据小波多分辨率分析和水文序列的统计自相似性，提出了水文序列分形维数的小波估计方法，给出了其计算步骤。
Based on the statistical self-similarity of hydrolgy time series, a new approach for estimating the fractal dimension by using successive wavelet transform coefficients is proposed.
根据小波多分辨率分析和水文序列的统计自相似性，提出了水文序列分形维数的小波估计方法，给出了其计算步骤。
应用推荐