硕士论文-神经网络在流速仪检定系统中的应用研究 - docin.com豆丁网 K—means聚类法及K．均值聚类法，是一种基于线性学习规则的无监督方案，于 是可保证快速的收敛。该算法也叫竞争学习算法（CompetitiveLearning，CL），总是 获胜者（离输入样本近的）得到调整；有人又把上述规则叫做胜者通吃规则 （Winner—Take
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为了训练atdwnn，本文提出一种基于时间机理的竞争学习算法。
In order to train ATDWNN, time mechanism based competition learning is also proposed.
最后选择改进的次胜者受罚竞争学习算法做为本文中R BF的学习算法。
Finally select Extended Rival Penalized Competitive learning algorithm as the paper's RBF learning algorithm.
先通过基于模糊竞争学习确定一种在线模糊辨识算法，并给出递推模糊竞争学习算法收敛性证明。
First of all, an on-line fuzzy identifying algorithm is confirmed by means of fuzzy competitive learning, and the convergence about a recursive algorithm of fuzzy competitive learning is proved.
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