“ Soft Computing ” Methods in Microwave Active Device Modeling
نویسندگان
چکیده
In this work, the signal and noise behaviors of a microwave transistor within its operation domain (CT,VDS, IDS , f ) are modeled by the Artificial Neural Network (ANN) and Fuzzy Logic System (FLS) without using any information on the microwave circuit theory . A worked example is presented where the same data is employed for both models selected from the manufacturer’s data sheets. Performances of the FLS and ANN models are compared and conclusions are drawn.
منابع مشابه
Overview of Microwave Device Modeling Techniques Based on Machine Learning
This paper overviews the microwave device modeling techniques based on machine learning. The proposed methods are divided into two categories, active and passive components modeling. These modeling techniques aim to characterize the microwave device efficiently and accurately. The active components consist of MESFET, HEMT, pHEMT, and so on. The passive devices include inductor, capacitor, Lange...
متن کاملComparison of Three Soft Computing Methods in Estimating Apparent Shear Stress in Compound Channels
Apparent shear stress acting on a vertical interface between the main channel and floodplain in a compound channel serves to quantify the momentum transfer between sub sections of this cross section. In this study, three soft computing methods are used to simulate apparent shear stress in prismatic compound channels. The Genetic Algorithm Artificial neural network (GAA), Genetic Programming (GP...
متن کاملInvestigating electrochemical drilling (ECD) using statistical and soft computing techniques
In the present study, five modeling approaches of RA, MLP, MNN, GFF, and CANFIS were applied so as to estimate the radial overcut values in electrochemical drilling process. For these models, four input variables, namely electrolyte concentration, voltage, initial machining gap, and tool feed rate, were selected. The developed models were evaluated in terms of their prediction capability with m...
متن کاملA Hybrid Neural Network Approach for Kinematic Modeling of a Novel 6-UPS Parallel Human-Like Mastication Robot
Introduction we aimed to introduce a 6-universal-prismatic-spherical (UPS) parallel mechanism for the human jaw motion and theoretically evaluate its kinematic problem. We proposed a strategy to provide a fast and accurate solution to the kinematic problem. The proposed strategy could accelerate the process of solution-finding for the direct kinematic problem by reducing the number of required ...
متن کاملCOMBINING FUZZY QUANTIFIERS AND NEAT OPERATORS FOR SOFT COMPUTING
This paper will introduce a new method to obtain the order weightsof the Ordered Weighted Averaging (OWA) operator. We will first show therelation between fuzzy quantifiers and neat OWA operators and then offer anew combination of them. Fuzzy quantifiers are applied for soft computingin modeling the optimism degree of the decision maker. In using neat operators,the ordering of the inputs is not...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005