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.

• 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。