Computational Intelligence Laboratory (M-Tech)

Computational Intelligence Laboratory (MECE 392)

General information about the Laboratory: The Lab is used by PG students in 3rdsemester in ECE department. The lab is located at 2nd floor, room no. 305. Number of student per session is 18. Number of setup available is 18 and number of students per setup in one.

Course Outcomes

CO1: Able to apply the unsupervised learning method.

CO2: Able to analyze the supervised learning technique.

CO3: Able to implement the regression method using ANN and Fuzzy logic.

CO4: Able to realize the dimension reduction algorithms

Name of the experiments performed:

  1. Introduction to Python / Matlab
  2. Unsupervised learning
    1. Hard clustering(K-means)
    2. Soft Clustering (FCM)
  3. Supervised learning
    1. Nearest neighbour classifiers
    2. Naive Bayes Classfiers
    3. Artificial Neural Network
    4. Fuzzy classifiers
    5. Genetic algorithms
  4. Regression
    1. Artificial Neural Networks
    2. Fuzzy classifiers
  5. Dimensionality reduction
    1. Principal Component Analysis

Name of the innovative experiments

  • Study and implementation of a research paper

Facility available in the laboratory

  • Software: Python / Matlab with image processing toolbox
  • Desktop PC: High end computing facility available