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
 

Testimonials

Related Courses

Basic MATLAB Programming

  21 hours

Introduction to Image Processing using Matlab

  28 hours

MATLAB Fundamentals

  21 hours

Matlab for Finance

  14 hours

MATLAB Fundamentals + MATLAB for Finance

  35 hours

MATLAB Programming

  14 hours

Simulation of Wireless Communication Systems using MATLAB

  35 hours

Matlab for Deep Learning

  14 hours

MATLAB Fundamentals, Data Science & Report Generation

  35 hours

Matlab for Predictive Analytics

  21 hours

Matlab for Prescriptive Analytics

  14 hours

Octave not only for programmers

  21 hours

Python for Matlab Users

  14 hours

Simulink® for Automotive System Design Advanced Level

  14 hours

Simulink® for Automotive System Design

  28 hours