An Artificial Intelligent technique exists in human brain for observation Of behavior of neurons in human brain. A neural network achieves the intelligent results by using massively parallel computations rather than by using rules or other logical structures. A set of elements begins by being randomly connected. Then network is trained to recognize a pattern by strengthening signals that lead to appropriate results and weakening incorrect or inefficient signals. An Artificial Neural Network(ANN) has procedural rules or formulas for only what kinds of input data the neural network can use to make an association with desired output. The approach of ANN has several advantages over conventional statistical and
deterministic` approaches. One of the most important algorithms of ANN is “Back Propogation Algorithm”(BPA) which learns by computing an error signal and than propogating the error backword throw the network. The BPA method is applied to statistical model(ARIMA) to test its efficiency and then applied to some actual geophysical data. The result of the analysis shows that the ANN is fast and efficient method for simulating/modeling large amount of data.