关键词:人口老龄化;RBF~*经网络模型;湖南省中图分类号:C924.24文献标识码:A文章编号:1000—846212012)04—0032—06RadialBasisFunctionNeuralNetworkModelAppliedintheForecastofPopulationAn一TakingHunanProvinceasanExampleCHENYi—hua1,2,LIYong—sheng,SUChang—gui,SUNFeng—hua'(.HunanUniversity,SchoolofEconomy&Trade...
径向基函数神经网络(radial basis function neural network) www.ecice06.com|基于4个网页 2. 辐射基底类神经网路 ...bilistic neural network)和辐射基底类神经网路(radial basis function neural network)。 etds.lib.ncku.edu.tw|基于3个网页 3.
L.Chuan-Kai, "Radial basis function neural network-based adaptive critic control of induction motors", Applied Soft Computing, vol. 11, pp. 3066-3074, 2011.C.K. Lin.Radial basis function neural network-based adaptive critic control ofinduction motors. Applied Soft Computing . 2011...
1.4.2Radial Basis Function Neural Network RBFNNis a type of feed-forward network trained using a supervisedtraining algorithm. The main advantage of RBFNN is that it has only one hidden layer. TheRBFnetwork usually trains faster thanBP networks. This kind of network is less susceptible to...
rbf基函数径向functionradialbasis Radial Basis Function (RBF) Networks RBF network • This is becoming an increasingly popular neural network with diverse applications and is probably the main rival to the multi-layered perceptron • Much of the inspiration for RBF networks has come from traditional...
Radial Basis Function Neural Network for Classi cation Problems Evolutionary Radial Basis Function Neural Networks Reference [] [] [] [] Radial basis function neural networks: a topical state-of-the-art survey 43 MATLAB³: Two functions have been implemented in MATLAB for radial basis networks....
Radial basis function(RBF) neural network was applied to determine soil types of hilly and mountainous terrains in Fengdu County of the Three Gorges region in China, the elevation in which ranges between 118.5m and 2000m, combining landsat enhanced thematic mapper plus (ETM+) data and topographic...
Neural Network Supervised Learning Unknown Function i x i y ˆ i y 1, 2 , i + + i e Neural Networks as Universal Approximators Feedforward neural networks with a single hidden layer of sigmoidal units are capable of approximating uniformly any continuous multivariate function, to any desired...
A radial-basis function neural network model is developed to learn the mapping from quantifiable and nonquantifiable factors describing the work zone traffic control problem to the associated work zone capacity. This model exhibits good generalization properties from a small set of training data, a ...
To forecast the freight volume more effectively,the authors analyzed the factors influencing freight volume and established an AHP model.Based on this model,a radial basis function neural network model for freight volume forecasting was presented.The historical statistical data from 1985 to 2004 were ...