3. 一般化回归神经网路 型以及一般化回归神经网路(general regression neural network)、Aburto andir.lib.stut.edu.tw|基于1 个网页 更多释义 例句 释义: 全部,而广义回归類神经网路,通用回归神经网络,一般化回归神经网路 更多例句筛选 1. General Regression Neural Network Applied to the Pattern Recognition of...
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 paramete...
general regression neural networksrandom noiseBackpropagationThe following sections are included:The Bayes Theorem and Regression TheoryThe General Regression Neural NetworkShort Wave Signal Filtering Application ExampleReferences#The Bayes Theorem and Regression Theory#The General Regression Neural Network#Short ...
Compared with other types of neural networks,General Regression Neural Network (Specht, 1991)is advantageous in several aspects. Being an universal approximation function, GRNN has only one tuning parameter to control the overall generalization
... 公差区间( Tolerance Intervals) 广义回归( General Regression) 非线性回归( Nonlinear Regression) ... auction1.paipai.com|基于13个网页 例句 释义: 全部,广义回归 更多例句筛选 1. In addition, the general regression neural networks (GRNN) compensator is used to achieve a good system response. ...
The decomposition algorithm called Empirical Mode Decomposition (EMD) is combined with the optimization algorithm named Tabu Search (TS) and General Regression Neural Network (GRNN) to achieve high precision and is proposed in this study. The performance of the proposed approach is evaluated using ...
A memory-based network that provides estimates of continuous variables and converges to the underlying (linear or nonlinear) regression surface is described. The general regression neural network (GRNN) is a one-pass learning algorithm with a highly parallel structure. It is shown that, even with ...
(2006). Currency crisis forecasting with general regression neural networks. International Journal of Information Technology & Decision Making, 5(3):437-454.L. Yu, K.K. Lai, S.Y. Wang, Currency crisis forecasting with general regression neural networks, International Journal of Information ...
Spectral representation of sequences and the General Regression Neural Network (GRNN) can give some interesting results in these difficult cases. The GRNN is based on the distance between the memorized examples of sequence and the input unknown sequence, both represented using a vector space spectral...
In the present study, performance modelling of FDM prototype has been carried out using two potential SC methods such as multi-gene genetic programming (MGGP) and general regression neural network (GRNN). The effect of three input factors namely, layer thickness, orientation, raster angle on ...