This course presents an overview of the theory and applications of artificial neural network to engineering applications. The objective of this course is on the understanding of various neural network the applications of these models to solve engineering problems.

• Topics:
  • Introduction
  • Learning paradigms, perceptron learning
  • Multi-Layer Perceptron and Back-propagation learning
  • Radial Basis Network
  • Support vector machines
  • Unsupervised learning, Clustering, Self-Organizing System, k-Means
  • Applications