EEE511: Artificial Neural Computation Systems

Last updated 11-26-2007


Final Project Presentation Schedule

To book a time slot, send an email message to the instructor with a brief description of your project proposal and a title.

12 minutes per presentation leaves only three minutes for discussion and for the change of the speaker, which isn't much. 10-11 minutes for the presentation would thus be ideal - 12 is the maximum. This all assumes that we have five presentations per class.
 

November 21 2007, 9:15-10:30

Title 

Tarek El Dokor

Real-time gesture recognition system

Chuan Huang

GDP analysis using SOM

Prathibha Ramaprasad

Application of Principal Component Analysis and Backpropagation for Taste Sensors

Fei Wu

Digit Recognition Using Neural Networks

Prasun Mahanti

Artificial Neural Networks for image topology understanding

November 26 2007, 9:15-10:30

Title 

Esteban Irigoyen

Robust Control System Design/Analysis using SOM

Liang Pao

Stock prediction

Jaidev Khatri

Santa Fe Institute: Analysis of Time Series Predictions

Peter Knee

Ion Channel Sensing

Sam Leshner

Device property variation visualization using Self-organizing maps

November 28 2007, 9:15-10:30

Title

 

Homework 5 solutions review

Balu Krishnan

Modeling of Chaotic Oscillator using Recurrent Neural Network

Ben Cohen

Self organizing maps for color-space quantization

Abishek Kumar

Neural equalizer

December 3 2007, 9:15-10:30

Title

Varsha B

Using Neural Network to solve the Kakuro puzzle

Rinkal Patel

Training Neural Networks for latent variables given the observed data by Variational Inference technique.

Shalin Mehta

Segmentation & Recognition of the image containing alphanumeric characters

Bharatan Konnanath

Feature Detection and Location in Facial Images

Houssam Abbas

Neural Networks with Memory