In vibration human body is unied and complex active dynamic system. Lumped parameters are oered used to capture and evaluate the human dynamic properties.Entire body vibration causes a multi fascinated sharing out of vibration within the body and disagreeable feelings giving rise to discomfort or exasperation result in impaired performance and health means. This distribution of vibration is dependent on intra subject variability and inters subject variability. For this study a multi degree of freedom lumped parameter model has taken for analysis. The equation of motion is derived and the response function such as seat to head transmissibility (STHT) driving point mechanical impedance (DPMI) and apparent mass(APMS) are determined, for this kind of study we can use a neural network (ANN) which is a powerful data modeling tool that is able to capture and represent complex input/output relationship. The goal of ANN is to create a model that correctly maps the input to the output using historic data so that the model can be then used to produce the output when the desired output is unknown.