1.Multilayer feedforward networks and backpropagation
2.Training of feedforward neural networks
3.Generalization
4. Bayesian learning of neural networks
5. Recurrent neural networks
6. Unsupervised learning
7. Nonlinear modelling and control
8.Support vector machines
9.Deep learning