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ModsCZ4042AY2014/2015 Semester 1
Neural Networks
AY2014/2015 Semester 1
Emphasis is placed on the mathematical analysis of artificial neural network networks, methods of training them and their applications to practical problems in science and engineering. Introduction to neural networks Basic Perceptron Multi-layer perceptron networks Performance estimation and model selection Kernel-based networks Hopfield networks Kohonen networks Adaptive resonance theory networks
| AUs | 3.0 AUs |
| Categories | CoreBDE |
| Not Available To All Programme With | (Admyr 2004-2010) |
| Mutually Exclusive With | CSC422 |
| Exam |
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1130 | COMMON LEC (CS4) 1130-1230 Fri LT4 | ||||
| 1200 | |||||
| 1230 | 10388 TUT (CS4) 1230-1330 Fri LT4 | ||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | COMMON LEC (CS4) 1430-1530 Wed TCT-LT | ||||
| 1500 |