CLK-Centroid algorithm adapts the noise data and outliers by using a strategy of competitive learning to compute a cluster Centroid, and improves the precision of cluster by using a strategy of combination clustering.
该算法采用竞争学习策略计算簇的质心，以适应噪声数据和分布异常数据的要求，使用组合聚类策略提高聚类的精度。
参考来源 - 基于竞争学习的K质心组合聚类算法On the basis of above model, we propose a multiple ANN/HMM hybrid model, which segments features with competitive learning mechanism and reduces the cost of storage and calculation of systems with the method of reorganizing features adaptively.
在上述模型的基础上,我们提出了一种多重ANN/HMM混合模型,通过竞争学习机制划分样本,通过自适应特征重组方法来降低系统的存储与计算开销。
参考来源 - 多重ANN/HMM混合模型在语音识别中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
The author proposes a new self tuning fuzzy modeling by means of fuzzy competitive learning.
提出了一种新的基于模糊竞争学习的自调整的模糊建模方法。
In the neural network mode classification method, one of the relatively famous methods is that "competitive learning".
神经网络模式分类方法中，比较著名的方法之一就是“竞争学习”。
We first discuss the structure and principle of the CMAC neural network. Using competitive learning, we develop a new adaptive quantization algorithm.
首先阐述了CMAC神经网络的原理、结构和学习算法，提出了一种新的采用竞争学习原理的非等距自适应量化算法。
应用推荐