期刊名称:International Journal on Computer Science and Engineering
印刷版ISSN:2229-5631
电子版ISSN:0975-3397
出版年度:2010
卷号:2
期号:3
页码:626-629
出版社:Engg Journals Publications
摘要:Nonlinear neural optimization networks are used for the designing of MSA. The paper presents NN model for computing resonant frequency of RMSA with normalized scale. NN model with normalised scale computes very fast. The normalized data has been applied to NN to get more efficient NN model. This model is compared with the NN model without normalized scale which gives very accurate result.
关键词:NN (Neural Network); ANN (Artificial Neural Network); FFBP (Feed Forward Back Propogation); RMSA (Rectangular Microstrip Antenna); EM. (Electromagnetic).