RBF Neural Network
A Novel Power Amplifier Behavior Modeling Based on RBF Neural Network with Chaos Particle Swarm Optimization Algorithm
... By contrasting figure 7 and figure 8, we can see that improved CPSO-RBF modeling has better fitting effect than RBP modeling. Improved CPSO-RBF modeling can simulate the power amplifier more accurately. It ...
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The Training and Application of RBF Neural Network Based on GWO
... To RBF neural network, it is important and difficult to determine the three vectors: the hidden center vector Φ whose dimension is Nr*Nh, Gaussian RMS width vector Θ whose dimension is Nh*1 and the ...
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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 ...the RBF neural network, we ...
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Optimized Face Recognition Technique based on PCA and RBF Neural Network
... this network is a set of n units, which accept the elements of an n dimensional input feature ...named RBF units. The RBF units are also fully connected to the output ...of neural ...
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Residual Life Prediction of Mine Cable Based on RBF Neural Network
... the RBF neural network generalization to predict the mine cable life, considering the temperature and the environmental humidity on the coal mine cable, using of dielectric loss factor as a criterion ...
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Tourist traffic prediction method based on the RBF neural network
... It is of great significance for scenic spots to establish an accurate prediction model which can reflect on tourist flow and has quantitative relation with other factors. For this reason, a tourist traffic prediction ...
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Multi Deployment of Dispersed Power Sources Using RBF Neural Network
... Multi-deployment of dispersed power sources became an important need with the rapid increase of the Dis- tributed generation (DG) technology and smart grid applications. This paper proposes a computational tool to assess ...
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Detecting Network Intrusion Using BPA & RBF Neural Network Algorithms
... propagation neural network intrusion detection system (BPNNIDS) and the second system was the RBF neural network intrusion detection system which was capable of classifying the attacks ...
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Research on Computer Digital Signal Processing Network based on the RBF Neural Network
... forward neural network, RBF network as usually called, often use a technique called radial basis function (Radial Basis Function, RBF) neural network classifier which has ...
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Radial Basis Function (RBF) Neural Network: Effect of Hidden Neuron Number, Training Data Size, and Input Variables on Rainfall Intensity Forecasting
... the RBF network model utilizing the daily meteorology data for Kuching, Sarawak, ...the RBF network model are minimum, maximum and mean temperature (°C), mean relative humidity (%), mean wind ...
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Face Recognition Based on DCT and RBF Neural Network
... In this thesis we implemented the face recognition method using k-means clustering, Principal Component Analysis (PCA) and RBF neural network approach. The system successfully recognized the human ...
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Sliding Mode Control with RBF Neural Network for Two Link Robot Manipulator
... an RBF network sliding mode control for robot ...by RBF neural network. 6. RBF NETWORK ADAPTIVE SLIDING MODE CONTROL FOR ROBOT MANIPULATOR The dynamic equation of 2-joint ...
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Prediction of Tourist Quantity Based on RBF Neural Network
... the RBF neural network modeling, whether to choose a set of input variables which can best reflect the reason for desired output changes is directly related to the performance of neural ...
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Multilingual Speech Recognition Using Radial Basis Function (RBF) Neural Network
... etc. RBF neural network is used after the PSO technique for the training and the testing of the speech ...signals. RBF neural network is a feed forward type neural ...
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Application in Composite Machine Using RBF Neural Network Based on PID Control
... Composite machine is a kind of important processing equipment in packaging industry , Non solvent composite has high production efficiency, energy saving, safety, environmental protection and other advantages and ...
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An Indoor Localization Algorithm Based on RBF Neural Network Optimized by the Improved PSO
... a RBF neural network (RBFNN) localization algorithm is proposed optimized by improved particle swarm optimization ...allocation network (RAN), the number of nodes in hidden layer increase ...
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Water Quality Sensor Model Based on an Optimization Method of RBF Neural Network
... the RBF neural network optimization method based on Improved Cuckoo Search (ICS), this Algorithm was compared with the classification Algo- rithm based on BP neural network, the ...
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Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network
... In RBF networks training, one of the key problems is to decide the number of neurons in hidden ...the network automatically increase neurons, after the training sample looping once, using the training ...
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Fpga realization of rbf neural network based transformer impulse fault classification scheme
... LVQ neural network for impulse fault classificationand DWT based feature extraction had been implemented on FPGA by the author in (Vanamadevi et ...(RBF) network on an ...function ...
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Detection of Tumor in Mammographic Images by RBF Neural Network and Multi Population Genetic Algorithm
... metaphors: RBF NN and MPGA. Artificial neural networks mainly arises from their potential ability to perform interesting computational tasks, it had to adopt themselves under unknown situations by the means ...
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