2019
DOI: 10.1016/j.aeue.2019.152847
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A novel neural-based approach for design of microstrip filters

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Cited by 64 publications
(38 citation statements)
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“…The mutual coupling of the antenna was reduced by around 11 dB, while the gain was increased by 0.5 dB, because of the metasurface introduction. In a different approach, artificial intelligence has recently been used in conjunction with electromagnetic simulators to solve some of EM problems including mutual coupling through an evolutionary approach [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…The mutual coupling of the antenna was reduced by around 11 dB, while the gain was increased by 0.5 dB, because of the metasurface introduction. In a different approach, artificial intelligence has recently been used in conjunction with electromagnetic simulators to solve some of EM problems including mutual coupling through an evolutionary approach [9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…LPFs play a key role in wireless communication systems owing to their tasks in eliminating unwanted harmonics and noise 3 . Growing demands for these elements motivate scientists to design LPFs with diverse structures and specifications 4‐19 . C‐shaped structures along with complementary split‐ring resonators were used to design an LPF 4 .…”
Section: Introductionmentioning
confidence: 99%
“…Using U‐shape Stepped Impedance and open‐ended coupled lines, a tunable LPF was proposed, 16 although its transition band is gradual. Besides, other methods such as defected ground structures, 17 circular sectors, 18 and neural‐based approaches 19 have recently been published. It should be noted that in Reference 19, an LPF, which is made up of open stubs and stepped impedance resonators, is firstly designed for which an artificial neural network is trained to enhance the specifications of the LPF, for instance in terms of sharpness.…”
Section: Introductionmentioning
confidence: 99%
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“…PSO is recently applied in various types of array antennas for broadband, reconfigurable and switched-beam applications [6][7][8][9] and used in conjunction with CST MWS to design near-field correcting structures and spatial phase shifters [10,11]. Also this data-driven optimization is implemented to design various types of EM or microwave devices such as couplers, frequency selective surfaces, artificial magnetic conductors, aperture distribution, and filters [12][13][14][15][16][17]. However, it is not easy to find that the data-driven optimization is used to design large-scale array antennas.…”
Section: Introductionmentioning
confidence: 99%