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.
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。