Rbf Ann Optimization of Systems Represented by Small Fdtd Modeling Data Sets
نویسندگان
چکیده
The paper describes a radial network procedure of numerical optimization backed by full-wave numerical analysis. To reduce computational effort, 3D FDTD data are added to the database as long as they are needed to achieve appropriate accuracy. The method involves optimization of the regularization parameter and radial function’s radius. Performance of the procedure is illustrated by optimizing the efficiency of a double waveguide window and a microwave oven with a load on a shelf.
منابع مشابه
Practical aspects of complex permittivity reconstruction with neural-network-controlled FDTD modeling of a two-port fixture.
The paper discusses characteristics of a new modeling-based technique for determining dielectric properties of materials. Complex permittivity is found with an optimization algorithm designed to match complex S-parameters obtained from measurements and from 3D FDTD simulation. The method is developed on a two-port (waveguide-type) fixture and deals with complex reflection and transmission chara...
متن کاملOptimization of Complex Microwave Systems with CORS RBF Network Backed by FDTD Analysis Data
With computer-aided design (CAD) and optimization of microwave (MW) systems being the subjects of considerable interest due to their potential of direct practical use, computational tools available for efficient optimal design still remain relatively limited. They are effectively restricted to certain classes of MW systems for which suitable physical or empirical models exist (and thus make spa...
متن کاملModeling and Optimization of β-Cyclodextrin Production by Bacillus licheniformis using Artiïcial Neural Network and Genetic Algorithm
Background: The complexity of the fermentation processes is mainly due to the complex nature of the biological systems which follow the life in a non-linear manner. Joined performance of artificial neural network (ANN) and genetic algorithm (GA) in finding optimal solutions in experimentation has found to be superior compared to the statistical methods. Range of applications of β-cyclodextrin (...
متن کاملModeling heat transfer of non-Newtonian nanofluids using hybrid ANN-Metaheuristic optimization algorithm
An optimal artificial neural network (ANN) has been developed to predict the Nusselt number of non-Newtonian nanofluids. The resulting ANN is a multi-layer perceptron with two hidden layers consisting of six and nine neurons, respectively. The tangent sigmoid transfer function is the best for both hidden layers and the linear transfer function is the best transfer function for the output layer....
متن کاملParametric optimization of Nd:YAG laser microgrooving on aluminum oxide using integrated RSM-ANN-GA approach
Nowadays in highly competitive precision industries, the micromachining of advanced engineering materials is extremely demand as it has extensive application in the fields of automobile, electronic, biomedical and aerospace engineering. The present work addresses the modeling and optimization study on dimensional deviations of square-shaped microgroove in laser micromachining of aluminum oxide ...
متن کامل