Internal Combustion Engine Modeling through Dynamic Neural Networks
Objective: The Internal Combustion Engine operation is a nonlinear process. Model the Internal Combustion Engine operation through Dynamic Neural Networks in order to get the system dynamics.
Summary:
- The network topology was chosen as a network with one hidden layer and an output layer.
- The activation function was chosen as the sigmoid function.
- The learning algorithm was chosen as a dynamical system.
Results:
