Historical snapshot: AY2017/2018 Semester 1 · View current offering
ModsCZ4042AY2017/2018 Semester 1
Neural Networks
AY2017/2018 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 Programme | ACBS, ACC, ADM, AERO, ASEC, BEEC, BIE, BMS, BS, BSPY, BUS, CBE, CBEC, CEE, CEEC, CHEM, CHIN, CS, CSEC, CVEC, ECMA, ECON, ECPP, ECPS, EEE, EEEC, EESS, ELAH, ELH, ENE, ENEC, ENG, ESPP, HIST, IEEC, IEM, LMS, MAEC, MAEO, MAT, MATH, ME(DES), ME(NULL), ME(RMS), MEEC(DES), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PHIL, PHY, PPGA, PSLM, PSMA, PSY, SOC, SSM |
| Not Available To All Programme With | (Admyr 2004-2010) |
| Mutually Exclusive With | CE4042, CSC422 |
| Exam |
Available indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1130 | COMMON LEC (CS4) 1130-1230 Fri LT4 | ||||
| 1200 | |||||
| 1230 | COMMON LEC (CS4) 1230-1330 Fri LT4 | ||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | 10408 TUT (CS4) 1430-1530 Wed LT10 | ||||
| 1500 |