Project Part 1: . Select a topic and a simulator that pertains to the subject matter of the
class. Make sure the topic is extensive enough and the simulator includes several pattern
classifiers AND/OR several neural networks.
You have to deliver a presentation focusing on the following:
1. Brief description of the simulator.
2. You should concentrate on 1-2 classifiers OR 1-2 neural networks (NNs) included
into the simulator and some of their applications.
3. A brief report and presentation of respective learning algorithm.
4. Showing demos or snapshots with the chosen simulator.
5. References.
Project Part 2:. You have to deliver a Final Report and a Final Presentation focusing on
the following:
a) You should present and explain the topology of particular pattern classifier or
particular neural network included into the chosen simulator as well as to discuss and
submit a detailed Final Report on design and implementation, training, testing and
final classification (clustering) results and conclusions;
b) You should demonstrate learning and testing of the chosen Pattern Classifier or
NN by using two generated two-dimensional datasets having 2 classes as well as one
expert benchmark and to visualize the results.
Your Final Report must include: cover page, description of the simulator,
description of the pattern classifier or NN used by you (topology, learning
algorithms etc.), description of the two generated data sets and the expert
benchmark.
Attachments to the Final Report: the files of datasets (3 txt or dat or doc files;
the visualization of the two generated two-dimensional data sets; the description
of experiments done by you including result discussions; conclusions and
references.
sir i can help u with this project i have done masters in computer engineering with final thesis in image processing and pattern recognition i can send u samples of my work hopping for your kind consideration