广义回归网络(GRNN)是RBF神经网络的变形。该网络是一个两层神经网络,第一层采用径向基神经元,传递函数为高斯函数radbas,加权函数为欧氏距离dist函数...
基于82个网页-相关网页
广义回归神经网络 GRNN ; generalized regression neural network
广义回归神经网络模型 Generalized Regression Neural Network ; GRNN
基于广义回归神经网络 General Regression Neural Network ; GRNN
其中广义回归神经网络 Generalized Regression Neural Network ; GRNN
吐量广义回归神经网络 Generalized Regression Neural Network ; GRNN
根据广义回归神经网络 generalized regression neural network ; GRNN
广义回归神经元网络 GRNN
广义回归神经网络技术 generalized regression neural networks ; GRNN
与广义回归神经网络 generalized regression neural networks
实例分析证明，广义回归网络模型可以应用于疾病预测数据处理工作，并可以取得更优的分析结果。
The example analysis proves that GRNN model can be used in the data processing of the disease forecasting.
针对广义回归网络在时变环境下难以确定平滑因子，自适应能力弱的缺点，提出了一种基于贡献率的选择优化方案。
For the defect that it is hard to determine the smoothing parameter in time-varying conditions, the adaptive optimizing strategy based on contributing ratio is proposed.
考虑到粘弹性材料阻尼性能随环境的非线性变化，运用GRNN(广义回归网络)对粘弹阻尼材料动态力学性能函数进行逼近，并构建预测模型。
Considering the non-linear behavior of the viscoelastic material according to the change of environment, the GRNN is used to make a model to predict the dynamic property of the material.
应用推荐