MEEN 5030 - Artificial Neural Networks (3)

This course introduces one of the parallel processing techniques: Artificial Neural Networks (ANN). Introduction to neural networks, biological inspiration, definitions, comparison with conventional digital computers, vector mapping, classification of neural networks based on the input, paradigms, self-adaptions and learning algorithms, mapping networks and their architectures. Applications to power systems, control systems, communications, signal Processing, quality control, and robotics. Prerequisite(s): Sound knowledge of any higher-level language. (C, Pascal or Fortran) or consent of the instructor.