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42035 - Neural and Evolutionary Computation (CNE) [UPC]


Type: S3 Course
Semester: Fall
ECTS: 6
Teaching Points: 15
Offer: Annual
Responsible Unit: CS-UPC
Responsible: René Alquézar
Language: English
Requirements:

GOALS

The main objective of this course is to provide the students with a wide understanding of the state of the art in neural and evolutionary computation techniques, including from the different optimization methods for training neural networks to some recently introduced models, such as support vector machines and heterogeneous neural networks.


CONTENTS

1. Neural computation
  • Introduction to optimization methods
  • Derivative based optimization methods
  • Incremental methods for neural network construction
  • ayesian neural networks
  • Recurrent neural networks
  • Heterogeneous neural networks
  • Support vector machines
2. Evolutionary computationç
  • Introduction to evolutionary computationç
  • Evolutionary optimization methods
  • Neural network training using evolutionary algorithms