Modeling, analysis and optimization of aircyclones using artificial neural network, response surface methodology and CFD simulation approaches
K Elsayed, C Lacor - Powder technology, 2011 - Elsevier
The pressure drop is an important performance parameter to evaluate and design cyclone
separators. In order to accurately predict the complex non linear relationships between …
separators. In order to accurately predict the complex non linear relationships between …
Robust parameter design optimization using Kriging, RBF and RBFNN with gradient-based and evolutionary optimization techniques
K Elsayed, C Lacor - Applied Mathematics and Computation, 2014 - Elsevier
The dual response surface methodology is one of the most commonly used approaches in
robust parameter design to simultaneously optimize the mean value and keep the variance …
robust parameter design to simultaneously optimize the mean value and keep the variance …
基于PCA-RBF 神经网络的手指静脉识别
余成波， 谭俊， 余磊， 何强， 李芮 - Hans Journal of Biomedicine, 2012 - hanspub.org
提出了一种将主成分分析法(PCA) 和径向基神经网络(RBF) 算法相结合的手指静脉分类算法,
即PCA-RBF 算法. 首先对手指静脉训练样本进行PCA 降维, 提取图像主要成分, 利用RBF …
即PCA-RBF 算法. 首先对手指静脉训练样本进行PCA 降维, 提取图像主要成分, 利用RBF …
A finger vein recognition method based on PCA-RBF Neural Network
CB Yu, J Tan, L Yu, YL Tian - Applied mechanics and materials, 2013 - Trans Tech Publ
This paper puts forward a finger vein classification algorithm which combines Principal
Component Analysis (PCA) with Radial Basis Function (RBF) neural network algorithm …
Component Analysis (PCA) with Radial Basis Function (RBF) neural network algorithm …
TS fuzzy modeling for predicting chaotic time series based on unscented Kalman filter approach
J Shi, J Wang, Y Wang - 2011 Eighth International Conference …, 2011 - ieeexplore.ieee.org
This paper presents a hybrid approach to fully train TS model for predicting chaotic time
series. The approach consists of a sequence of steps aiming at developing a optimal fuzzy …
series. The approach consists of a sequence of steps aiming at developing a optimal fuzzy …