ANNA/LMP

From WikiZMSI

Spis treści 1 Lab. no 1: Simple Perceptron network 2 Lab. no 2: Multilayer feed-forward backpropagation networks 3 Lab. no 3: RBF neural networks 4 Lab. no 4: Competitive learning 5 Lab. no 5: Hopfield network 6 Lab. no 6: Interpolation of time series

Lab. no 1: Simple Perceptron network

Data and user manual for classes.

Lab. no 2: Multilayer feed-forward backpropagation networks

Data and user manual for classes.

Lab. no 3: RBF neural networks

Data and user manual for classes.

Lab. no 4: Competitive learning

Data and user manual for classes.

Lab. no 5: Hopfield network

User manual for classes.

Lab. no 6: Interpolation of time series

Data for classes.

• In each column of the data file, the stock values of one of 10 different companies are saved.
• For the given company (column):

1. choose the width of the time window,
2. prepare data for the neural network learning,
3. choose the network architecture,
4. determine the network quality.