Network Architecture Ageneralized regression neural network (GRNN) is often used for function approximation. It has a radial basis layer and a special linear layer. The architecture for the GRNN is shown below. It is similar to the radial basis network, but has a slightly different second layer...
A generalized regression neural network and its application for leaf wetness predic- tion to forecast plant disease. Chemometrics and Intelligent Laboratory Systems, 48: 47-58.CHTIOUI Y,PANIGRAHI S,FRANCL L. A generalized regression neural network and its application for leaf wetness prediction to ...
基于广义回归神经网络的发动机排放预测 Forecast of Engine Emissions Characteristic Based on Generalized Regression Neural Network 文档格式: .pdf 文档大小: 335.57K 文档页数: 6页 顶/踩数: 0/0 收藏人数: 0 评论次数: 0 文档热度: 文档分类: 待分类 ...
(MIV)whilethegeneralizationcapabilityimprovedbyoptimaladjustmentofthespreaddensity.Calculationex—amplesprovetheGRNNmodeltobesimpleandprecise,withhightrainingaccuracyandstronggenerationcapability,whichthereforecanbeappliedforsoftmeasurementofmainsteamflow.Keywords:mainsteamflow;reversemodeling;generalizedregressionneuralnetwork...
[17]: # TRAIN THE NEURAL NETWORK In [18]: def try_std(x): ...: nn = grnn(std = x, verbose = False) ...: nn.train(x_train, y_train) ...: y_pred = nn.predict(x_test) ...: print mse(y_pred, y_test) ...: In [19]: # TEST A LIST OF VALUES FOR THE TUNING PA...
^ This study introduces a neural network model, which comprises multiple Generalized Regression Neural Networks (GRNNs) and a gating network for financial forecasting. The GRNN has long been proven to be an effective tool for function approximation problems. This work adds the capability of ...
Wavelet generalized regression neural network(WGRNN) model was constructed using wavelet analysis and generalized regression neural network(GRNN).This prediction model had better precision on predicting total food yield during 2007～2008 if compared to GRNN and grey model GM(1,1),and it did not onl...
The two types of neural networks examined were "traditional" multilayer perceptron neural networks and generalized regression neural networks (GRNNs). The GRNN is comparable to, or better than, MLR for modeling spectral interferences and matrix effects covering several orders of magnitude. In the ...
Keywords:generalregressionneuralnetwork(GRNN);lengthofday;atmosphericangularmomentum(AAM)function;prediction1IntroductionEarthrotationisaffectedbytheinteractionsofsolidEarthwiththeatmosphere,ocean,mantleandcore[1−3].Earthrotationincludespolarmotionandlengthofday(LOD)changes,whicharecalledtheearthrotationparameters(...
Prediction of Military Vehicle’s Drawbar Pull Based on an Improved Relevance Vector Machine and Real Vehicle Tests Gaussian kernel RVM, polynomial kernel RVM, support vector machine (SVM) and generalized regression neural network (GRNN) are also used to compare with ... F Yang,S Wei,G Lin,...