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- W2183555467 abstract "This paper, different neural network models has been used to estimation of resonance frequency of a coaxial feed L-shaped Microstrip patch Antenna. The 6 Different training algorithms of Multi-Layer Feed forward back Propagation (MLFFBP) and RBF network have been used to implement the neural network model. The aim of the study is determine of physical parameters without any mathematical expressions. Compared the results of different neural network for MLFFBP training algorithm and Radial Basis Function (RBF). Number of neurons and number of hidden layer is also carried out for estimating the resonance frequency. The method of moment (MOM) based IE3D software was used to generate data dictionary for training and validation set of ANN. The results obtain using ANN are compared with simulation feeding and found quite satisfactory." @default.
- W2183555467 created "2016-06-24" @default.
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- W2183555467 date "2013-01-01" @default.
- W2183555467 modified "2023-09-24" @default.
- W2183555467 title "Design and Analysis of L-slotted Microstrip Patch Antenna with Different Artificial Neural Network models" @default.
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