| 释义 |
GRNN
基本例句
广义回归神经网络¹⁰⁰
TheGRNNRBR process control model is established, the performance of the established model is studied by simulation.本研究利用GRNN具有逼近因子间函数的能力来判断制程的稳定状态，并导入一新的方法于RBR制程控制。
It is trained by using the recursively updated sample date sets and thusGRNNbecame dynamic neural network.为此改造泛回归神经网络，运用递推更新的样本数据集训练GRNN，构成动态泛回归神经网络。
For comparison, the two component models, namely the SARIMA model andGRNNmodel, are used to forecast the short-term traffic flow.构造该组合模型的两个组成模型，即SARIMA模型和GRNN模型，也被用于预测研究以便于验证该组合模型在预测上的优势。
An empirical study shows the hybrid models have better forecast performance than the SARIMA model, but does not necessarily better than theGRNNmode.实证研究结果表明，组合模型的预测精度高于SARIMA模型，但是却并不必然高于GRNN模型。
A modified genetic algorithm was applied to optimize smoothing factors ofGRNN,then model of salvolatile column was built based onGRNN.采用改进的遗传算法优化广义回归神经网络的平滑参数,并运用GRNN的非线性映射能力,建立了碳铵塔出口碳化度和氨滴度的预测模型。
The correlation model between main chemical compositions and sensory qualities of flue-cured tobaccos was constructed by generalized regression neural network.采用广义回归神经网络分别对烤烟的主要化学成分与香气质、香气量、杂气、刺激、余味、劲头和烟气浓度等感官质量进行建模。 |