Project; neural network

1. Apply the formulas and to determine the output using neural networks/fuzzy logic.
2. Run a Fuzzy logic/neural network simulation using Matlab or any other open source software and determine the outputs using various fuzzy logic systems. Equipment and Materials:
   Computer with Matlab Software or any other open source software
   Individual simulation in MATLAB or any other open source software
   Project Activity: Simulation
3. Choose an Industrial application/problem which requires intelligent control and implement fuzzy/neural network based model for the same.
4. Develop the mathematical model and algorithm for the above condition mentioned in #1 using MATLAB or any other open source software and run the simulation and get the output verified.
5. Report the output with different training tolerance, different activation function and report the output of the simulation.
6. Interpret the output of the designed algorithm with respect to change in training parameters.

Report requirements

1. Submission Date
   The submission of the project, report, and presentation must be on 13th week of the term.
   Late submission will not be accepted and will merit a zero credit in the Final exam.
2. Project flow and Report Format
   The following information must be included in your report:
   Abstract
   Table of Content
   List of Figures
   List of Tables
   LIST OF ABBREVIATIONS
   Part 1: Introduction
   Part 2: Literature Review
   Part 3: Methodology
   Part 4: Result and Discussion
   Part 5: Conclusions
   Part 6: References
   Appendix

Rubrics
Question 1: 25 marks: Designing and test the network model correctly
10-24: partially correct design and testing. (Deduction Method applies)
0 – 9: incorrect design and testing (Deduction Method applies)
Question 2: 25 marks: Fully correct architecture diagram and algorithm
10-24 marks: Partially correct architecture diagram and algorithm (Deduction Method applies)
0-9 Marks: Incorrect architecture diagram and algorithm (Deduction Method applies)
Question 3: 25 marks: Presentation and output verified
10-24 marks: Partially Presentation and output partially verified (Deduction
Method Applies)
0-9 Marks: Incorrect Presentation and output not verified verified (Deduction Method
Applies)
Question 4: 25 marks: Correct interpretation of output in viva answer
10-24 marks: Partially correct interpretation of output in viva answer (Deduction
Method Applies)
0-9 Marks: Incorrect interpretation of output incorrect viva answer(Deduction Method
Applies)