Abstract: Neural Networks (NNs) have been employed in many applications in recent years. A neural network is an interconnection of a number of artificial neurons that simulate a biological brain system. It has the ability to approximate nonlinear functions and can achieve higher degree of fault tolerance. NNs have been successfully introduced into power electronics circuits where a NN replaced a large and memory demanding look-up table to generate the switching angles. The neural network controllers for engine idle speed and Air/Fuel (A/F) ratio control produce signals that affect the operation of the engine while the neural network models are used to describe various aspects of engine operation as a function of measurable engine outputs. This study aims to study the behavior of the parameter based kalman filtering in neural network.