A self-organizing cascade neural network with random weights for nonlinear system modeling

- A self-organizing cascade neural network is proposed for nonlinear system modeling.
- A method is derived to select the input and hidden units for the network.
- A simple way is derived to train the weights of the network.
- The proof of the convergence has been given.
- Predict the key parameters in a wastewater treatment plant using the network.