Experimental results illustrate that the performances of the proposed system is better than the discriminant CEM (classification expectation maximization) algorithm, particularly when there are noise data and new patterns.
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释义
实验结果表明半监督学习自适应谐振理论系统的性能优于判别式CEM算法,特别是在含有噪音和新模式数据情况下,其优势更为明显。
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