Karpuz, CeyhunÖzek, AhmetGörür, AdnanÖztürk, PinarBa?, Nusret2024-11-072024-11-072010978-142449588-7https://hdl.handle.net/11480/109782010 7th National Conference on Electrical, Electronics and Computer Engineering, ELECO 2010 -- 2 December 2010 through 5 December 2010 -- Bursa -- 83834Artificial Neural Network computational modules have recently gained recognition RF and microwave modeling. This situation is very important for computer aided tuning of microwave components. Neural networks can be trained to learn the behavior of passive/active components/circuits. This paper presents a design approach for a microstrip dual mode filter by using the artificial neural network modeling (ANN) technique. First to develop new models available in the programs a simple modeling technique were used. To these end important dimensions of the filter layout are used to capture critical input output relationships. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient results in the filter optimization.trinfo:eu-repo/semantics/closedAccessElectrical engineeringMicrostrip filtersMicrowave filtersOptimizationArtificial Neural NetworkArtificial neural network modelingComputer-aided tuningCritical inputsDesign approachesDual-mode filterDual-mode resonator filterFilter optimizationMicrostripesMicrowave componentsMicrowave modelingNeural network applicationNew modelSimple modelingNeural networksConference Object4844882-s2.0-79951603632N/A