Analysis and design of directional couplers based on AlxGa1−xAs by using an efficient neural networks: A design tool simulation implemented in C/C++

Directional couplers with planar geometry were analyzed and designed successfully and efficiently by means of neural networks. The considered material was the alloy of Aluminum, Gallium and Arsenic represented by Al_xGa_1-xAs. In this work, the needed data for training the neural networks were obtained through analytical solutions. Satisfactory results were obtained by the neural network, finally, a tool for the design and analysis of such couplers has been implemented in C/C++.