Design and application of machine learning algorithm computer in connect6 of computer games system

The paper introduces briefly some of the key structures of the computer games system in connect6. And it mainly provides a further optimization for the current existing computer games system in connect6. The machine learning algorithm can increase the adaptive width adjustment in the MTD (f) algorithm and the self-learning method by TD_BP algorithm in the evaluation function which could strengthen the “thinking” ability on the computer games system in connect6. The advanced and modified algorithm is proved to be practical and applicative by experimentations and tests of computer games system in connect6 provided in this paper.