Course Outline

  1. MATLAB Basics
  2. MATLAB More Advanced Features
  3. BP Neural Network
  4. RBF, GRNN and PNN Neural Networks
  5. SOM Neural Networks
  6. Support Vector Machine, SVM
  7. Extreme Learning Machine, ELM
  8. Decision Trees and Random Forests
  9. Genetic Algorithm, GA
  10. Particle Swarm Optimization, PSO
  11. Ant Colony Algorithm, ACA
  12. Simulated Annealing, SA
  13. Dimenationality Reduction and Feature Selection

Requirements

Good math skills
Linear Algebra

  21 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

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