| Week
(Date) |
Topic |
|
|
|---|---|---|---|
| Week 1
(Sep 8) |
Introduction to Neural Networks
The Perceptron |
|
Lecture 1 |
| Week 2
(Sep 15) |
Learning Paradigms, LMS Algorithm
Lab Project 1: Single-layer Perceptron |
|
Lecture 2 |
| Week 3
(Sep 22) |
Multi-layer Perceptrons (MLP)
Backpropagation Algorithm |
|
Lecture 3 |
| Week 4
(Sep 29) |
Backprop. (contd)
Lab Project 2: Multi-layer Perceptron |
|
Lecture 4
(same as Lecture 3) |
| Week 5
(Oct 6) |
Radial Basis Function (RBF)
Networks |
|
Lecture 5 |
| Week 6
(Oct 13) |
Guest lecture
(Dr. Mandayam is on travel) |
|
|
| Week 7
(Oct 20) |
Final Project Proposal Due
RBF Networks (contd.) Lab Project 3: Radial Basis Functions |
|
Lecture 7 |
| Week 8
(Oct 27) |
Midterm Exam | ||
| Week 9
(Nov 3) |
Fuzzy Neural Networks |
|
Lecture 9 |
| Week 10
(Nov 10) |
Self Organizing Maps
Hopfield Neural Networks |
14 |
Lecture 10 |
| Week 11
(Nov 17) |
Feature Extraction
Approximation Theory |
5 |
Lecture 11 |
| Week 12
(Nov 24) |
Final Project Presentations | Nov 24: Ahiskali – Support vector machines in augmented stacked generalization
Nov 24: Russell, Conti – A neural network implementation in Gensym G-2 Nov 24: Latman – Leak detection in shipboard systems under anomalous operating conditions Nov 24: Hayden – MLP classification of genome data |
|
| Week 13
(Dec 1) |
Final Project Presentations | Dec 1: Etheridge, Downes – Music key recognition of digital audio recordings
Dec 1: Elwell – Using parameter estimation drift detection for learning in an ensemble of classifiers Dec 1: Bien, Bonelli – Retinal/Iris scan recognition Dec 1: Thoden, Gonzalez – Vector quantization |
|
| Week 14
(Dec 8) |
Final Project Presentations | Dec 8: Gillespie, Patel – Fingerprint
recognition
Dec 8: LaRocco, Dan Mo – Use of MLP for speaker recognition Dec 8: Louie, Byrne – Parametric feature-based face recognition Dec 8: Dennis, Ulrich – Facial expression detection |
|
| Week 15
(Dec 15) |
Final Project Presentations | Dec 15: Brigandi – Steepest descent for
computing RBF parameters
Dec 15: Bloom – 3-D volumetric image reconstruction using ANN Dec 15: Weaver – PCA/Independent Component Analysis Dec 15: Hak – Short term load forecasting using ANN Dec 15: McDevitt – Long term wind data projection using ANN |
| Instructor | Schedule | Textbook | Links | Grading | Homepage |