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radial basis function neural network
Shape identification of electrocardiographic ST segment based on radial basis function neural network
      
In this paper, we introduce a computerized automatic identification method of the electrocardiographic ST segment shape with radial basis function neural network based on adaptive fuzzy system, which has a better effect than other methods.
      
Estimation of vegetation biophysical parameters by remote sensing using radial basis function neural network
      
The method of damage identification using the radial basis function neural network (RBFNN) is presented in this paper.
      
Fuzzy self-adaptive radial basis function neural network-based control of a seven-link redundant industrial manipulator
      
A Radial Basis Function Neural Network is considered for the real-time application.
      
A new algorithm using a RBF NN (radial basis function neural network) is proposed to predict this traffic chaos.
      
Because Radial Basis Function Neural Network (RBFNN) has the characteristics of optimal approximation and global approximation.
      
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper.
      
The action-value function of the Q-learning method is approximated by the radial basis function neural network and learned by the gradient descent.
      
The value-function is constructed from the critic formulated by a radial basis function neural network (RBFNN), which has a simulated experience as an input, generated from a predictive model based on a kinematic model.
      
However, because the back propagation network underperformed on two of the four classes, the radial basis function neural network was tested on the same databases initially used in an attempt to improve the recognition rate of these two classes.
      
Radial basis function neural network approach for the diagnosis of coronary artery disease based on the standard electrocardiogr
      
The purpose of the paper is the evaluation of a radial basis function neural network as a tool for computer aided coronary artery disease diagnosis based on the results of the traditional ECG exercise test.
      
The application of a radial basis function neural network for predicting the surface roughness in a turning process
      
This study considers the performance of a radial basis function neural network for predicting the surface roughness in a turning process.
      
This work proposes the application of two different hybrid intelligent techniques, adaptive neuro fuzzy inference system (ANFIS) and radial basis function neural network- fuzzy logic (RBFNN-FL) for the prediction of surface roughness in end milling.
      
This paper presents a congestion control scheme for ATM traffic using a minimal radial basis function neural network referred to as Minimal Resource Allocation Network (MRAN).
      
Prediction of chenille yarn and fabric abrasion resistance using radial basis function neural network models
      
We investigate a radial basis function neural network for the control of a video camera for tracking a target moving at high speed.
      
 

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