Neural Network Model Based Predictive Control (MPC) has become a good choice of control strategy in many cases especially in the process industry because it could face non linearities and cross coupling variables [6], being modeling the first step to achieve this end. The model of a gasifier, provided by ALSTOM Power Technology Centre, is of an industrial standard and has been validated against a set of real data from test facilities. This makes the challenge all the more relevant to practicing engineers. The paper sets out the specifications and describes the design and performance of neural networks modeling and presents a neural network approach to model the ALSTOM Benchmark Challenge gasifier. This is a complex non-linear process, with a high degree of cross coupling of the variables, manual control is difficult.