Abstract
In T-detector Maturation Algorithm with Overlap Rate (TMA-OR), the parameters Omin and self radius r s are required to be 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. © 2012 Springer-Verlag.
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APA
Chen, J., Zhang, Q., & Fang, Z. (2012). Improve the adaptive capability of TMA-OR. In Advances in Intelligent and Soft Computing (Vol. 151 AISC, pp. 665–671). https://doi.org/10.1007/978-3-642-28765-7_80
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