4^th Year Project Topics

Professor Q.J. Zhang

Topic 1: Neural Networks for High-Frequency Electronic Modeling:

Neural networks are information processing systems whose design is inspired by the studies of the ability of the human brain to learn from observations and to generalize by abstractions. The fact that neural networks can be trained to learn any nonlinear input-output relationship from corresponding data has led to their use in a number of areas such as pattern recognition, speech processing, control, and biomedical engineering. In the last decade, neural networks have been used in the computer-aided design (CAD) of RF/microwave components and circuits. Neural networks can be trained to learn component and circuit data, and trained neural networks can be used during circuit design to provide instant answers to the task it learned. In this project, the student group will develop a computer program to train and test neural works, and to use the program to create neural networks for modeling high-frequency electronic devices and circuits.

Topic 2: Microprocessor-Based Project:

This is intended to allow students who have finished ELEC 3907 to use their 3^rd year project as a starting point, and to expand the project depth and scope into a new level. Major technical design contents, new features and capability are expected from the 4^th year project.