Imagine that you want to predict or forecast the gas rate in a gas well for the next 12 hours You have hourly data for the past six months of the following quantities: (1) gas flow rate, (2) water flow rate, (3)well head pressure, (3) well head temperature 1. Explain how would you design and train an artificial neural networ to forecast the Gas Rate 2. Present a graph of your network and show clearly what are the inputs and outputs of the network. Now, Imagine a different case where your hourly data for the past si months how some gaps (for example every day the data from 8am to 10 am and the data every Sunday is missing). 3. What conventional statistical method you need to use before applying the ANN you design for this problem?