Artificial intelligence analysis, pattern recognition and prediction method

摘要

An artificial intelligence analysis, pattern recognition and prediction method is implemented with software installed in computer hardware to create a system. The method has a classified data inputting act, a first learning act, a building act, an unclassified data inputting act, an analyzing act, a comparing act, an ending act, a transferring act and a second learning act. The comparing act is the comparing of an actual classifier of a testee with a predicted classifier by the system, and results in conformity or nonconformity between the actual class label and the predicted class label. The second learning act is the learning of the new data by the machine learning algorithm when nonconformity is the result of the comparing act. The refining act is the refining of the rules and patterns. The method concludes a predicted result and refines itself when the predicted result is different from an actual result.