Results 191 to 200 of about 13,817 (251)

A Systematic Evaluation of <i>Angelica sinensis</i> Discrimination Based on FT-MIR Spectroscopic Analysis Combined with Machine Learning. [PDF]

Foods
Zhou L, Ma F, Yan Y, Yan J, Zhao Z, Sun Z.   +5 more
europepmc   +1 more source

Identifying the impact of chemical functional groups on ionic liquid conductivity. [PDF]

Chem Sci
Umaña JE, Zawicki NA, Gebbie MA, Zavala VM, Cersonsky RK.   +4 more
europepmc   +1 more source

Quantitative method of pipeline magnetic leakage internal signal detection on the basis of an improved neural network. [PDF]

Sci Rep
Wang G, Bei S, Zuo Y, Zhang H.
europepmc   +1 more source

Development of a Neural-Fuzzy-Based Variable Admittance Control Strategy for an Upper Limb Rehabilitation Exoskeleton. [PDF]

Sensors (Basel)
Shi Y, Li K, Zhang Y, Wu Q.
europepmc   +1 more source

Direct robust adaptive tracking control of electric vehicles based on radial basis function neural networks. [PDF]

PLoS One
Xiao X, Fang X.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Accelerated gradient algorithm for RBF neural network

Neurocomputing, 2021
Abstract Gradient-based algorithms are commonly used for training radial basis function neural network (RBFNN). However, one of the challenges in the training process is determining how to avoid vanishing gradient. To solve this problem, an accelerated gradient algorithm (AGA) is designed to improve the learning performance of RBFNN in this paper ...
Hong-Gui Han, Miao-Li Ma, Jun-Fei Qiao
openaire   +1 more source

Adaptive Computation Algorithm for RBF Neural Network

IEEE Transactions on Neural Networks and Learning Systems, 2012
A novel learning algorithm is proposed for nonlinear modelling and identification using radial basis function neural networks. The proposed method simplifies neural network training through the use of an adaptive computation algorithm (ACA). In addition, the convergence of the ACA is analyzed by the Lyapunov criterion. The proposed algorithm offers two
Hong-Gui Han, Junfei Qiao 0001
openaire   +2 more sources

Encrypting Algorithm Based on RBF Neural Network

Third International Conference on Natural Computation (ICNC 2007), 2007
An encrypting algorithm based on RBF neural network is presented. The clear-text is regarded as RBF target vector. RBF network is trained with random input vector, and the trained results are regarded as the cryptograph. With the feature that the input vector of RBF neural network can be any random value, there are the infinite kinds of ways to build ...
Kaili Zhou, Yaohong Kang, Yan Huang, Erli Feng   +3 more
openaire   +1 more source

Recognition of pump state by RBF neural network

2005 IEEE International Conference on Robotics and Biomimetics - ROBIO, 2005
The arising of neural network theory is a breakthrough from machine processing to man's thinking mode. On the basis of the traditional BP and RBF neural network, this article applies a new algorithm user-defined step radial basis function to recognize ZYB03-60 vacuum air press pump. It turns out that the algorithm can train studying-speed faster and it
Jimei Wu, Qiumin Wu
openaire   +1 more source