Improve the Adaptive Capability of TMA-OR

摘要

In T-detector Maturation Algorithm with Overlap Rate (TMA-OR), the parameters Omin and self radius rs are required to he set by experience. To solve the problem. negative selection operator and self radius learning mechanism are proposed. The results of experiment show that the proposed algorithm can achieve the same effect when KDD and iris are as data set.