广义回归网络,GRNN
1)GRNN广义回归网络
1.According to these limitations,this paper presents an automated pattern classification method of Self-Organizing Map Neural Network(SOMNN) combining with Generalized Regression Neural Network(GRNN).针对这些缺陷,提出一种非监督自组织神经网络(SOMNN)和监督的广义回归网络(GRNN)结合的全自动模式分类新方法。
英文短句/例句

1.Study on SOM Network, General Regression Neural Network and Their Hybrid Model;SOM网络和广义回归网络及其混合模型研究
2.Research on Vibration Measurement Technology of Tip-timing System Based on GRNN;基于广义回归网络的叶端定时测振技术研究
3.Grid Performance Prediction Based on General Regression Neural Network;基于广义回归神经网络的网格性能预测
4.Application of General Regression Neural Network in Adjusting Humidity in HVAC Control System广义回归神经网络在空调湿度调节中的应用
5.Forecast for mutual fund returns with gerenal regression neural network;以广义回归神经网络预测共同基金报酬
6.Optimization of Modeling Industrial Process Based on General Regression Neural Network基于广义回归神经网络的工业过程优化建模
7.Method of Temperature Measurement Using Image Based on GRNN基于广义回归神经网络的图像测温方法
8.Research on GRNN-based sensor fault diagnosis基于广义回归神经网络的传感器故障诊断研究
9.Slope stability evaluation based on generalized regression neural network基于广义回归神经网络的边坡稳定性评价
10.Fault Prediction of Radar Based on Modified General Regression Neural Network基于改进广义回归神经网络的雷达故障预测
11.Generalized regression neural network-based traffic matrix estimation基于广义回归神经网络的流量矩阵估计
12.Transport Volume Forecast Based on GRNN广义回归神经网络在交通运输量预测中的应用
13.Parameter-optimized rotated general regression neural network model一种参数优化旋转广义回归神经网络模型
14.GRNN in application of discriminant AMT gear-shift广义回归神经网络(GRNN)在AMT挡位判别中的应用
15.Extraction method of fetal electrocardiogram by general regression neural network使用广义回归神经网络的胎儿心电提取
16.The Study of General Regression Neural Network and Genetic Algorithms and Their Application for Chemical Engineering;广义回归神经网络和遗传算法研究及其在化工过程建模中的应用
17.Prediction of Passenger Traffic Volume Based on Grnn and Grey Theory;基于灰色理论与广义回归神经网络的客运量预测模型研究
18.Research on the Application of General Radial Basis Function Neural Network in Analysis of Dam Safety Monitoring Data;广义回归神经网络在大坝安全监测数据分析中的应用
相关短句/例句

generalized regression neural network广义回归神经网络
1.Simultaneous determination of copper(Ⅱ),lead(Ⅱ) and zinc(Ⅱ) in spectrometry using a wavelet packet transform based generalized regression neural network;小波包变换广义回归神经网络分光光度法同时测定铜铅锌
2.Study on Method of Generalized Regression Neural Network for Spatial Prediction of Soil Properties;土壤属性空间预测的广义回归神经网络方法研究
3.Surface reconstruction aiming at points cloud data based on generalized regression neural network;应用广义回归神经网络重建点云曲面
3)general regression neural network(GRNN)广义回归神经网络(GRNN)
4)general regression neural networks广义回归神经网络
1.A model based on general regression neural networks(GRNN) has been established to predict the end point of batch pulping cooking.为了实现制浆蒸煮终点的精确预测,建立了基于广义回归神经网络(GRNN)的预测模型。
2.A new modeling method based on general regression neural networks(GRNN) of item parameter estimation within IRT(Item Response Theory) was discussed.探讨了一种新的基于广义回归神经网络(GRNN)的IRT(项目反应理论)项目参数估计建模方法,着重介绍了如何建立网络的输出模式及利用MonteCarlo方法建立网络的输入模式,提出了多种对模型进行改进的方法。
5)generalized regression neural network(GRNN)广义回归神经网络
1.The generalized regression neural network(GRNN) and the genetic algorithm(GA) are regarded as the artificial intelligence techniques.广义回归神经网络(GRNN)和遗传算法(GA)都是在模拟人的生理活动进而提出的人工智能技术。
2.The RBF network function approximation theory and method are introduced,and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).介绍了径向基函数网络的函数逼近原理和方法,提出了一种基于广义回归神经网络(GRNN)的传感器非线性误差校正方法。
3.Aimed at solving the challenging problem of diagnosis for sensor bias and drift faults,a novel approach of sensor fault diagnosis based on generalized regression neural network(GRNN)is proposed.针对诊断传感器偏置故障与漂移故障的难点问题,提出了一种基于广义回归神经网络(GRNN)的传感器故障诊断方法。
6)general regression neural network广义回归神经网络
1.Parameter-optimized rotated general regression neural network model一种参数优化旋转广义回归神经网络模型
2.A general regression neural network model is established for prediction production rate in fracturing wells.以影响压裂井产量的地层参数和压裂施工参数作为输入变量,压裂后的每米产量为输出变量,建立了压裂井产量预测的广义回归神经网络模型,并根据与目标油井地质参数的欧式距离的大小来选择学习样本。
3.Based on choosing nine chemistry parameters and right spread coefficient,the recognition pattern of activity of twenty six antagonists has been established by using general regression neural network(GRNN).选择9个化学参数和合适的扩展系数,对一批26个拮抗药化合物的活性建立了广义回归神经网络识别模式。
延伸阅读

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