TY - JFULL AU - Dr.K.Sri Rama Krishna and J.Lakshmi Narayana and Dr.L.Pratap Reddy PY - 2008/11/ TI - ANN Models for Microstrip Line Synthesis and Analysis T2 - International Journal of Electrical and Computer Engineering SP - 2342 EP - 2347 VL - 2 SN - 1307-6892 UR - https://publications.waset.org/pdf/15045 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 22, 2008 N2 - Microstrip lines, widely used for good reason, are broadband in frequency and provide circuits that are compact and light in weight. They are generally economical to produce since they are readily adaptable to hybrid and monolithic integrated circuit (IC) fabrication technologies at RF and microwave frequencies. Although, the existing EM simulation models used for the synthesis and analysis of microstrip lines are reasonably accurate, they are computationally intensive and time consuming. Neural networks recently gained attention as fast and flexible vehicles to microwave modeling, simulation and optimization. After learning and abstracting from microwave data, through a process called training, neural network models are used during microwave design to provide instant answers to the task learned.This paper presents simple and accurate ANN models for the synthesis and analysis of Microstrip lines to more accurately compute the characteristic parameters and the physical dimensions respectively for the required design specifications. ER -