Machine learning algorithm 机器学习算法
Supervised Learning Algorithm 监督学习算法
BP learning algorithm BP学习算法
Deep Learning Algorithm 深度学习算法
Self-learning Algorithm 自学习算法
Hybrid learning algorithm 混合学习算法 ; 混合式学习演算法
parametric learning algorithm 参数学习算法
Error Back Propagation Learning Algorithm 应用误差反向传播算法
The paper gives out a semi-supervised learning algorithm based on FCM.
给出了一个基于FCM的半监督学习算法。
参考来源 - 半监督学习及其应用研究The inference algorithm and dynamic adaptive learning algorithm were deduced to demonstration the system.
同时给出了参数的动态自适应学习算法。
参考来源 - 期刊学术社区·2,447,543篇论文数据，部分数据来源于NoteExpress
This means that any learning algorithm requires some kind of "bias" to distinguish between these plausible outcomes.
这就意味着，任何学习算法都需要一些“倾向性”，用来区分可能的结果。
This is the most important part of any machine learning algorithm.
这是任何机器学习算法中最重要的部分。
Simulation shows that the learning algorithm has a fast convergence speed and good stability.
仿真表明，该学习算法收敛速度快、稳定性好。
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