[PDF] Top 20 Tourist traffic prediction method based on the RBF neural network
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Tourist traffic prediction method based on the RBF neural network
... Early prediction on tourist flow mainly focuses on econometric models [3-4], whose main feature is that tourism demand is predicted by analyzing factors affecting tourist ...smoothing method, ... See full document
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A Short Term Traffic Flow Prediction Based on Recurrent Neural Networks for Road Transportation Control in ITS
... day, traffic congestion mainly in large cities is taking an inescapable status primarily in peak ...the traffic flow patterns and predicting traffic status at any given point and ...predict ... See full document
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Water Quality Sensor Model Based on an Optimization Method of RBF Neural Network
... the prediction performance of RBF net- work for training samples is ...trained RBF network model can more accurately predict the training samples and achieve a better non-linear fit- ting of ... See full document
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Research on Railway Passenger Flow Prediction Method Based on GA Improved BP Neural Network
... BP neural network topology is a three-layer struc- ture (shown in Figure 1), an input layer, an output layer, and a hidden layer in the ...The traffic of the previous n years is selected to predict ... See full document
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Residual Life Prediction of Mine Cable Based on RBF Neural Network
... The prediction by using mathematical statistics method and model ...model method is the general model method of Cable life prediction and the thermal stress is the main factor of the ... See full document
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Energy Consumption Prediction Model of Public Buildings Based on PSO RBF
... Artificial neural network technology has been widely used in prediction ...the prediction problems of stationary stochastic processes which contain complex ...consumption prediction ... See full document
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The Short term Prediction of Vehicle Speed of Urban Freeway Based on RBF Neural Network
... of traffic, the new short-term model based on RBF network is ...the prediction results of proposed model are more accurate than the traditional model based on single time series ... See full document
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Prediction of Tourist Quantity Based on RBF Neural Network
... Hainan Province, called Joan, in the southernmost tip of China and Guangdong Qiongzhou Strait across the North Sea, the vast South China Sea in the south. Hainan is the only tropical island province in China, has ... See full document
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Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network
... numerical method, the fuzzy mathematics me- thod, grey system methods, statistical analysis, Kriging valuations, regression analysis, time series analysis, spe- ctrum analysis (Fourier analysis, wavelet analysis, ... See full document
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Method of Wireless Sensor Network Data Fusion
... The RBF network with local excitation function can overcome the defects of the inherent property brought by BP algorithm that it is easy to get into local ...BP network, so the optimal solution can ... See full document
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Study of Personal Credit Evaluation Method Based on PSO RBF Neural Network Model
... neural network parameters have a major impact on the performance of the network, so we must select the ap- propriate parameters to improve the prediction perform- ance of the RBF ... See full document
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A Neural Network Model Deployed in the Cloud for Prediction of Network Traffic
... Initially, the model is tested with a simulation run depicting high congestion (Bandwidth – 5, Update percentage – 10%, and maximum active transactions, MAT 50). It is a highly congested scenario because of the low ... See full document
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Concurrent blind channel equalization with phase transmittance RBF neural networks
... (RBF) neural network with phase transmittance (PTRBFNN) outperforms the classical complex valued RBF neural network (RBFNN) for those channels which impose drastic phase rotation ... See full document
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The Training and Application of RBF Neural Network Based on GWO
... updated based on the compared results, and finally the Wolf α position vector will be sent back to the RBF network as its vector parameter Φ , Θ and ρ , then one training is ...of RBF ... See full document
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Face Recognition Based on DCT and RBF Neural Network
... Artificial Neural Network (ANN) is a powerful tool for pattern recognition ...of neural networks (NN) in faces has addressed several problems: gender classification, face recognition and ... See full document
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Online Failure Prediction for Railway Transportation System based on Fuzzy Rules and Data Analytics
... optimal prediction model ARIMA(p, d, q), we can forecast the monitored variable’s ...of prediction functions in this ...the prediction error is white ... See full document
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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 difficult to ... See full document
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Application of artificial bee colony algorithm to select architecture of a optimal neural network for the prediction of rolling force in hot strip rolling process
... one method is to use the finite element method (FEM) to predict rolling force, which is able to perform complicated calculations under realistic process constraints and various deformation ...use ... See full document
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Study Of The Fault Diagnosis Based On Wavelet And Fuzzy Neural Network For The Motor
... According to this article, the date which is used to analysis comes from the Case Western Reserve university provides in the network. Gather the asynchronous machine four condition’s signals as normal, rolling ... See full document
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Research on Computer Digital Signal Processing Network based on the RBF Neural Network
... Wallace and Darwin published a paper on the origin of species in July 1, 1858 at the London Academy of forestry and society, so people put their natural selection theory called Darwin Wallace’s theory. Darwin in 1859 ... See full document
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