It is more accurate of the forecasting results by the composite gray neural network model than that by the only gray models by comparison.
对比发现，利用组合灰色神经网络模型预测的位移值较单独的灰色模型预测的位移值具有更高的精度。
By using neural networks as the approach for whitening system cloud gray model, the system cloud gray neural network models SCGNNM (1, 1), were proposed in this paper.
利用人工神经网络的方法实现系统云灰色模型的参数白化，提出了系统云灰色神经网络模型SCGNNM(1,1)，并给出了相应的学习算法。
In this paper, from solvency supervise Angle, take China Life Insurance Company for example, applying gray neural network theory, establish an solvency risk early warning system.
本文从偿付能力监管的角度，以中国人寿为例，运用灰色神经网络理论，建立了偿付能力风险预警系统。
The mathematical principles and models of gray relational analysis and BP neural network used to determine the source of water were introduced.
给出了灰色关联分析及BP神经网络进行判别分析的数学原理和模型。
A method of detecting the textile defects by using Pulsed Coupled Neural Network (PCNN) is proposed according to the difference of gray intensity between normal fabric images and textile defects.
根据织物表面图像的灰度强度和织物疵点图像的灰度强度的不同，运用PCNN对织物疵点进行自动检测。
Most existing texture segmentation approaches focus on gray texture images, while this paper presents a color texture image segmentation method, which is based on fractal theory and BP neural network.
现有的纹理分割方法大多集中于研究灰度纹理图像，文中提出一种基于分形理论和BP神经网络的彩色纹理图像分割方法。
The results show that while the gray system can be very successful in structural damage prediction, neural network technique is applicable to irregular structural damage detection.
结果表明，灰色理论能成功地对结构损伤进行预测，神经网络适用于此类损伤无规律对象问题的诊断。
Ground objects can be effectively recognized by gray co-occurrence vector and gray co - dimension feature vector with BP neural network and Bayesian network, recognition rate of 70%.
利用灰度共生纹理特征向量和灰度共生-差分维数联合特征向量结合BP神经网络和朴素贝叶斯网络都能对地物进行有效识别，识别率在70%以上。
Gray relational analysis and BP neural network to model the samples was established in the work area for optimal formation bit computing model.
采用灰色关联分析法和BP神经网络法对样本进行建模，建立了适用于工区地层钻头优选的计算模型。
The number of automobiles owned by China in 2000, 2005 and 2010 was forecasted based on BP neural network. The results by this method were compared with those of gray forecasting.
利用改进的BP神经网络对中国2000年、2005年、2010年的汽车保有量进行预测，并与灰色预测的结果进行对比。
First selects texture features based on the gray level co-occurrence Matrix and then EBP-OP neural network is used as a classifier. The experimental results show that this method is very effective.
首先运用灰度共生矩阵提取图像的纹理特征，然后用EBP - OP算法对提取的纹理特征进行分类，并在此基础上实现一组纹理图像的检索，实验证明这种方法是有效的。
In this paper, by using the gray system theory and the dynamic BP neural network, the combination forecasting model are discussed.
对时间序列的一类预测模型进行了研究，把灰色模型与BP神经网络模型组合建模，通过实例分析取得好的效果。
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
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