neural network has been used widely in system identification. they are used to model all types of processed regardles of whether the processes are linear or non-linear. A feedforward neural network has been used successfully in modeling a fermentation process where the network is trained to predict the specific growth rate. They successfully used the neural network in performing system identification to obtain the kinetic models of the specific growth rate and the specific consumption rate. These parameters are the most important process properties in fermentation process modeling.