The Standard RBF Neural Network Training
The Training and Application of RBF Neural Network Based on GWO
... optimizer, Neural network, Approximation, Chaotic ...of RBF neural network, Grey Wolf Optimizer (GWO) and its several variants have been ...the RBF neural network ...
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2 Optimal tracking control based on adaptive rbf neural network (Tc-rbf)
... (RBF) Neural Network, Adaptive Scheme, Disturbance Estimation, Tracking Control, Nonlinear System, Liquid Level Systtem, Active Magnetic Bearing ...artificial neural network and fuzzy ...
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Prediction of Tourist Quantity Based on RBF Neural Network
... Artificial neural network (ANN) modeling method is an effective analysis method for forecasting, which can well reveal the correlation of nonlinear time series in delay state ...in neural ...
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Face Recognition Based on DCT and RBF Neural Network
... KEYWORDS: Face Recognition, DCT, k-means clustering, PCA, RBF neural network I. INTRODUCTION Security and authentication of a person is a challenging part of any industry. There are many techniques ...
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Prediction of Fishing Ground based on RBF Neural Network
... Function Neural Network (RBFN) as an intelligent method to fulfill the prediction of fishery forecasting in Southwest Atlantic on Illex ...(FCM) RBF which is time consuming, we used symmetry-based ...
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Detecting Network Intrusion Using BPA & RBF Neural Network Algorithms
... to network of computer ...Propagation Neural Network (BPA) and Radial Basis Function Neural ...the network packet to look for known intrusive ...Algorithm Neural Network ...
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Tourist traffic prediction method based on the RBF neural network
... Prediction; Neural Network; Radial Basis Function _____________________________________________________________________________________________ INTRODUCTION According to statistics of WorldTravel and ...
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Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network
... model-BRF network model is founded to be used in groundwater dynamic simulation and ...the training sample set, testing sample set, the pretreatment of the original data, neural network ...
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Improvement of RBF Neural Network by AdaBoost Algorithm Combined with PSO
... of RBF in Matlab is: [net,tr]=newb(P,T,GOAL,SPPREAD,MN,DF), and the net is thee return value of network, tr is return value of training record, and when the network data sets are trained, the ...
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Adaptive Control for Robotic Manipulators base on RBF Neural Network
... adaptive neural network controller is brought forward by the paper to solve trajectory tracking problems of robotic manipulators with ...by neural network controller and variable structure ...
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Research on Computer Digital Signal Processing Network based on the RBF Neural Network
... Remark 4. Determine the weights of the network output layer. Remark 5. Because the value of the initial population structure of chromosomes and is the cluster category number. 4. Experimental Methods and Results ...
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Residual Life Prediction of Mine Cable Based on RBF Neural Network
... prediction, RBF neural network, Temperature, Dielectric dissipation ...the RBF (Radial basis Function) neural network forecasting model is constructed for the mine cable life ...
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Short-Term Solar Power Prediction Using an RBF Neural Network
... a RBF neural network-based model, which has been compared with two linear models, for ...proposed RBF neural network-based model has better performance than the AR and LLR models ...
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Multi Deployment of Dispersed Power Sources Using RBF Neural Network
... other methods in terms of performance and consuming time, Table 2 has been prepared. In the past, there were debates about system voltage violation caused by the existence of DG unit. This is probably true if the optimal ...
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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 Back ...
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Subtractive Clustering Based RBF Neural Network Model for Outlier Detection
... detection, network robustness analysis and intrusion ...the neural network to solve the problem because it has the advantage of powerful modeling ...a RBF neural network model ...
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Genetic algorithm-based RBF neural network load forecasting model
... traditional training plan, either gradient descent algorithm or Least Square Method, not only had a slow convergence rate, but also was very likely to fall into local minimum ...of training plan appeared, ...
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Demosaicing of Color Images Using RBF Based Neural Network Technique
... Abstract Due to the high cost and maintenance, Most of the color sensor cameras are arranged with CFA (color filter array), it produces the mosaicked image. The process of reconstruction is called demosaicing. There are ...
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An Optimal Radial Basis Function (RBF) Neural Network for Hyper-surface Reconstruction
... (RBF) Neural Network for Hyper-Surface Reconstruction ...the training data ...layer neural network with one neuron for each distinct ...Ecient training of a regularization ...
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An Indoor Localization Algorithm Based on RBF Neural Network Optimized by the Improved PSO
... allocation network (RAN), the number of nodes in hidden layer increase dynamically to determine the center of RBFNN, the number of nodes in hidden layer and spread ...
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