Neural Networks
- Introduction to neural networks, Biological neuron, Mc Culloch-Pitts model
- Mathematical analysis of a neuron function in input space, Comparing of a neuron function with logical gates, Artificial neural network structures, Neural processing kinds.
- Learning Rules
- Functional Analysis of Feedforward NNs
- Functional Analysis of Feedforward NNs
- Perceptron
- Continuous Perceptron - Delta
- MLP -BP
- BP - Batch/Online
- Momentum - Local Minima
- TDNN - Int. to Deep NN
- RBF
- Hopfield NN
- Boltzmann Machine
- SOFM - ART1
- Structural Change in NNs