This page contains the course materials and final projects, developed at the University of Guilan for Computational Intelligence course (code 12262111) in Fall 2020 semester. The course presents an introduction to the methods and algorithms of Computational Intelligence, and focuses on the functional concepts and applicable approaches. The topics covered in this course include Soft Computing, Artificial Neural Networks (ANNs), Fuzzy logic, Evolutionary Computation, and Swarm Intelligence. It also discusses the structures of well-known CI methods, such as Ant Colony, Genetic Algorithm, Perceptron Network, and Deep Learning.
- Introduction to Computational Intelligence and Soft Computing
- Artificial Neural Networks
- Cluster Analysis
- Fuzzy Logic and Calculations
- Evolutionary Computation
- Instructor: Ali Tourani
- TAs:
- Credits: 3
- Time: Tuesdays, 15:30 – 17:00, 17:15 – 18:30
- Location: This semester, classes are held online due to the spread of COVID-19. E-Contents and videos are being continuously shared and updated on the University of Guilan E-Learning website. Online (live) classes are held every second Tuesdays according to the the table below.
| # | Date |
|---|---|
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 5 |
| # | Project title | Member(s) |
|---|---|---|
| 1 | Flappy bird game using Genetics Algorithm | 960122680012 |
| 2 | Recurrent Neural Network (RNN) | 960122680007, 960122681005 |
| 3 | Support Vector Machines (SVM) | 9712268102, 9612268101, 960122680113 |
| 4 | Generative Adversarial Networks (GAN) | 960122680003, 960122680017, 960122681003 |
| 5 | Radial Basis Network (RBN) | 960122680039, 960122680006, 960122681017 |
| 6 | Long/Short Term Memory (LSTM) | 970122680014 |
| 7 | Deep Convolutional Network (DCN) | 960122680033, 960122680041 |
| 8 | Liquid State Machine (LSM) | 960122680074, 9612268100 |
| 9 | Deep Residual Network (DRN) | 960122681004, 960122681015, 950122680034 |
| 10 | Inception Architecture for Image Classification | 960122680119 |
| 11 | Self-Organizing Map (SOM) | 950122610006 |