RBF neural network training
The Training and Application of RBF Neural Network Based on GWO
... of RBF neural network, Grey Wolf Optimizer (GWO) and its several variants have been ...the RBF neural network based on GWO is named as RBF-GWO ...of training the ...
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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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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 ...started training, by checking the output error to make the network automatically increase ...
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Water Quality Sensor Model Based on an Optimization Method of RBF Neural Network
... of training samples, the fitness value is smaller, which indicates that the prediction performance of RBF net- work for training samples is ...the training of data samples. The trained ...
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Tourist traffic prediction method based on the RBF neural network
... i.e., training set and training ...the training set (36 months), while monthly data about tourist flow in 2013 (12 months) constitute the test ...
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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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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, ...
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Method of Wireless Sensor Network Data Fusion
... the RBF neural network. The simulated training data are selected from the values of the groundwater level, channel flow, air temperature, saturation difference, precipitation and evapora- tion ...
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Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor
... fuzzy RBF neural network was ...fuzzy RBF neural network, used to diagnose the induction motor bearing ...long training time, local minimum problems when using BP ...
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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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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 ...
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Detecting Network Intrusion Using BPA & RBF Neural Network Algorithms
... the network over a set of training ...the network is activated and the error of each neuron of the output layer is ...the network error is used for updating the ...the network, layer by ...
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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 ...
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Online Full Text
... as training samples while the remaining samples without overlapping were used as test ...200 training images and 120 testing images for RBF neural network for each ...
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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 ...
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Uncertainty and Interpretability Studies in Soft Computing with an Application to Complex Manufacturing Systems
... the RBF-NN [Zhou and Gan, ...Function Neural Net- work (IT2-RBF-NN) is ...the RBF-NN. The major contribution of this network is twofold - first the IT2-RBF-NN not only provides a ...
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Comparative Neural Network Models on Material Removal Rate and surface Roughness in Electrical Discharge Machining
... BP neural networks and RBF network are composed of two stages: training and testing of the networks with experimental machining ...The training data consisted of values for current (I), ...
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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 ...
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Multi Deployment of Dispersed Power Sources Using RBF Neural Network
... artificial neural network (ANN) and particle swarm optimization (PSO) as in [21-23], respec- ...only training process is required and the optimum point is directly determined without solving any non- ...
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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 ...
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