Therefore, RPCL is utilized to converge some of initial centers to actual centers of original color image and image is segmented by these learned cluster centers.
因此，本文采用RPCL算法，对这些组合的聚类中心颜色进行学习来确定实际的颜色类数目以及聚类中心，并用学习后的聚类中心对原图像进行聚类分割。
This paper proposes to overcome those problems by incorporating the improved RPCL (rival penalized competitive learning)algorithm and the EM(expectation maximization)algorithm into the EBF structure.
本文提出用结合改进的RPCL算法和EM算法的EBF网络结构来解决上述问题。
This paper proposes to overcome those problems by incorporating the improved RPCL (rival penalized competitive learning)algorithm and the EM(expectation maximization)algorithm into the EBF structure.
本文提出用结合改进的RPCL算法和EM算法的EBF网络结构来解决上述问题。
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