[PDF] Top 20 Prediction of Tourist Quantity Based on RBF Neural Network
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Prediction of Tourist Quantity Based on RBF Neural Network
... He joined the college of the Information Science & Technology, Hainan University, in 2001, where he is currently a Professor. From 2005 to 2006, he was a Visiting Scholar with the Artificial Intelligence Laboratory, ... See full document
6
The Short term Prediction of Vehicle Speed of Urban Freeway Based on RBF Neural Network
... short-term prediction of traffic flow is a significant way to help predicting and solving traffic ...speed prediction model is established based on temporal-spatial characteristics and radial basis ... See full document
6
Tourist traffic prediction method based on the RBF neural network
... RBF neural network belongs to forward neural network, whose structure has adaptivity and whose output has not relationship with initial weight ...realizes RBF neural ... See full document
5
Residual Life Prediction of Mine Cable Based on RBF Neural Network
... the RBF neural ...life prediction value is 260971h, that is life expectancy is ...the RBF neural network is established to predict the life of mine cable ... See full document
6
Simulation and Prediction for Groundwater Dynamics Based on RBF Neural Network
... That the factors (such as water level, water quantity, wa- ter chemical composition, water temperature, etc.) in the aquifer system changing with time under interaction in the surrounding environment, is called ... See full document
5
Water Quality Sensor Model Based on an Optimization Method of RBF Neural Network
... The neural network can provide an effective network model for data fusion because of its nonlinear mapping ability and strong self-learning ...the prediction ability of soil properties ... See full document
11
Review on Classification of Genes and Biomarker Identification
... class prediction was done using an Artificial Neural Network (ANN) classifier ...(RBF) neural network for cancer classification using expression of very few ...genes. RBF ... See full document
8
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 ... See full document
8
A Literature Review of Wind Forecasting Methods
... Chang [25] gave a method to do time series prediction forecast of wind power generation using RBF neural network.. The good agreements between the realistic values and forecasting values[r] ... See full document
8
ANN Methods for COP Prediction of Supermarket Refrigeration System
... COP prediction is the base of optimization analysis of energy saving, ANN models were developed by using on-site testing data to predict COP of the refrigeration system in this ...and RBF neural ... See full document
7
Energy Consumption Prediction Model of Public Buildings Based on PSO RBF
... traditional RBF neural network learning method has flaws. The network parametersareset based on the local parameter space ...of neural network to improve its learning ... See full document
6
Usage Surface Deflection Data for Performance Prediction in Flexible Pavement
... (RBF) neural networks. These neural networks were optimized by levenberg-marquardt (MLP-LM), scaled conjugate gradient (MLP-SCG), imperialist competitive (RBF-ICA), and genetic (RBF-GA) ... See full document
22
Area and Timing Estimation in Register Files Using Neural Networks
... Artificial Neural Network (ANN) model for the prediction of time and area for standard cell register files designed using optimized Synopsys Design Ware components and an UMC130 nm ... See full document
9
Minimizing Material Inventory In Ready Mixed Concrete Plants By Applying A Fuzzy Neural Network Approach Management
... materials based on the results of the prediction of the optimal order quantity, the batching plant of a construction project was studied in Tehran, the capital of ...order quantity and ... See full document
9
OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... of RBF neural network and weight values from the hidden layer to the output ...optimized neural network was used for transformer fault ...methods based on conventional RBF ... See full document
6
Optimized Face Recognition Technique based on PCA and RBF Neural Network
... [4] neural networks have found to be very attractive for many engineering problem because: (1) they are universal approximators, (2) they have a very compact topology and (3) their learning speed is very fast ... See full document
6
EMBEDDING RАPIDMINER MODELS IN JAVA CODE
... with network parameter bias were considered as a set of inputs and assessed the performance of the networks in predicting the thyroid ...the network in this research and they were considered as Normal, ... See full document
8
RBF Neural Network Based Sliding Mode Control of a Lower Limb Exoskeleton Suit
... Sliding mode control is an effective approach for robust control of nonlinear systems with a variable structured surface. The control action is determined by a switching state space to reduce the order of the system, ... See full document
10
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 ... See full document
5
Neural Network Based Rainfall Prediction
... A neural network has to be configured such that the application of a set of inputs produces (either 'direct' or via a relaxation process) the desired set of ...the neural network by feeding it ... See full document
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