

Training and testing predictions of data were planned and carried. Well, log data was available. The data was trained. The fuzzy interface made it plausible to run the model. Triangular membership function was used to go for training and testing. Control of training was performed by a design driver. Matching and comparison showed predictions. Good training predictions were attained. Trained model was verified by testing. Training and testing patterns are similar. Improvements are seen in testing. A fuzzy interface system is constructed among training, testing and design driver. The relationships show that the training is responsible for good testing. Difficulties were faced at memory level due to computational power. Experience matters and higher speed machines will learn and response better.