[PDF] Top 20 The Training and Application of RBF Neural Network Based on GWO
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The Training and Application of RBF Neural Network Based on GWO
... the GWO algorithm, in which the position of the grey wolf may be updated based on the compared results, and finally the Wolf α position vector will be sent back to the RBF network as its ... See full document
8
Fpga realization of rbf neural network based transformer impulse fault classification scheme
... function network is a pattern classifier net having a feed forward ...less training time than the other multilayer neural network to achieve the same ...Function neural Network, ... See full document
7
Learning Methods of Radial Basis Function Neural Network
... in RBF network design is the design meets the accuracy requirements of the minimum structure of neural network, in order to ensure the generalization ability of the ...and application ... See full document
5
Residual Life Prediction of Mine Cable Based on RBF Neural Network
... the RBF (Radial basis Function) neural network forecasting model is constructed for the mine cable life prediction ...the training target vector, RBF neural network is ... See full document
6
Subtractive Clustering Based RBF Neural Network Model for Outlier Detection
... In RBF network, most of the methods employ unsupervised learning utilizing only the normal class during training since abnormal patterns are not usually ...while training the RBF ... See full document
8
Optimized Face Recognition Technique based on PCA and RBF Neural Network
... (RBF) Network is a very efficient solution for the researchers working in this ...Function Network for ...the training time is better than existing neural Network based in ... See full document
6
Concurrent blind channel equalization with phase transmittance RBF neural networks
... symbol training sequence whose values are stored in a look up table at the receiver as reference data for the learning ...symbol training sequence for the RBFNN learning process is based on a blind ... See full document
8
Water Quality Sensor Model Based on an Optimization Method of RBF Neural Network
... The neural network can provide an effective network model for data fusion because of its nonlinear mapping ability and strong self-learning ...algorithm based on ZigBee protocol ...combines ... See full document
11
Learning enhancement of radial basis function neural network with harmony search algorithm
... derivative based algorithms for training RBF networks, such as the gradient descent (GD) algorithm and Kalman filtering ...for training RBF networks in accordance with the various ... See full document
31
Research on Computer Digital Signal Processing Network based on the RBF Neural Network
... used RBF network training methods (Newton method, Gauss-Newton method and LM method) it is difficult to find the global optimal network center and width ...the training process of ... See full document
5
Face Recognition Based on DCT and RBF Neural Network
... and RBF neural network ...prevent training samples with large variations from being clustered in the same ...the RBF neural network for ...high training and ... See full document
11
Tourist traffic prediction method based on the RBF neural network
... RBF neural network belongs to forward neural network, whose structure has adaptivity and whose output has not relationship with initial weight ...realizes RBF neural ... See full document
5
Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network
... BP network such as artificiality for determining the construction, inferiority to RBF net on accuracy and speed of training and ran- dom of initial weight value to the outcome are all mani- fested ... See full document
5
A Novel Power Amplifier Behavior Modeling Based on RBF Neural Network with Chaos Particle Swarm Optimization Algorithm
... of neural network training, researchers at home and abroad used Particle Swarm Optimization (PSO) algorithm to train neural network weights and ...the network training ... See full document
6
Application in Composite Machine Using RBF Neural Network Based on PID Control
... Kee-hyun Shin proposed an eccentric eccentricity compensation assessment and an adaptive method to eliminate the interference produced by the drum shape [7] . Wei Xinming by using BP neural network PID ... See full document
5
OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... Because neural network has the ability of good self-learning, parallelism, strong fault tolerance and generalization ability, without needing a precise mathematical model, a set of nonlinear mappings can be ... See full document
6
Design of radial basis function neural network controller for BLDC motor control system
... method based on Radial Basis Function(RBF) has been proposed in this ...of neural network was revised in time according to the speed of motor and phase current, the duty cycle of pulse width ... See full document
8
Prediction of Tourist Quantity Based on RBF Neural Network
... Determining training samples and test samples The number of input layer neurons corresponding to the dimension of input vectors, the number of input layer nodes is too much, causing the network to learn the ... See full document
6
Kalman Filter Based Controlled Online System Identification | Journal of Engineering Sciences
... on-line training of recurrent neural networks should be done preferably with extended Kalman filter ...the neural network and therefore the implementation of the unscented Kal- man filter ... See full document
5
Studies on Optimization Algorithms for Some Artificial Neural Networks Based on Genetic Algorithm (GA)
... the neural network may be more efficient than the traditional gradient descent based learning algorithms, but it still should try the network architecture, in this paper, that is to find the ... See full document
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