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 |
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