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- W2354032347 abstract "The relationship between the resonance frequency and the size of the structure is multiparameter and nonlinear,which makes it difficult to establish accurate model when design of a rectangular micro-strip antenna.To solve this problem,a new way of RBF(radial basis function)neural network algorithm was proposed by combination the methods of dynamic adaptive clustering and the pseudo inverse weighting,which possessed several advantages of unfixed neuron number on hidden layer,by means of adaptive adjustment,good approximation effect,and small amount of calculation,fast learning.Then combined with the better approximation properties of RBF neural network for multivariable and nonlinear functions,it was used for modeling the resonance frequency of the rectangular micro-strip antenna.Experiment results showed that the established neural network model was obviously superior to the result of literature in both accuracy and speed.Thus a new effective method to improve the design efficiency is provided for the developer of antenna design." @default.
- W2354032347 created "2016-06-24" @default.
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- W2354032347 date "2014-01-01" @default.
- W2354032347 modified "2023-09-25" @default.
- W2354032347 title "New adaptive RBF neural network for micro-strip antenna modeling" @default.
- W2354032347 hasPublicationYear "2014" @default.
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