# Letter R
[*Return*](https://github.com/SyncedAI00/Artificial-Intelligence-Terminology/blob/master/README.md)
索引编号|英文术语|中文翻译|常用缩写|来源&扩展|备注
---|---|---|---|---|---
AITD-01541|Radial Basis Function|径向基函数|RBF|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00398/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)||
AITD-01542|Random Access Memory|随机访问存储|RAM|[1]||
AITD-01543|Random Field|随机场||[1]||
AITD-01544|Random Forest Algorithm|随机森林算法||[1]||
AITD-01545|Random Forest|随机森林|RF、RFS|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00251/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3)[[4]](https://www.nature.com/articles/s41557-021-00716-z)[[5]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)|统计|
AITD-01546|Random Initialization|随机初始化||[1]||
AITD-01547|Random Sampling|随机采样||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00450/978-1-78801-789-3)|统计|
AITD-01548|Random Search|随机搜索||[1]||
AITD-01549|Random Subspace|随机子空间||[1]||
AITD-01550|Random Variable|随机变量||[1]||
AITD-01551|Random Walk|随机游走||[1]||
AITD-01552|Range|值域||[1]||
AITD-01553|Rank|秩||[1]||
AITD-01554|Ratio Matching|比率匹配||[1]||
AITD-01555|Raw Feature|原始特征||[1]||
AITD-01556|Re-Balance|再平衡||[1]||
AITD-01557|Re-Sampling|重采样||[1]||
AITD-01558|Re-Weighting|重赋权||[1]||
AITD-01559|Readout Function|读出函数||[1]||
AITD-01560|Real-Time Recurrent Learning|实时循环学习|RTRL|[1]||
AITD-01561|Recall|查全率/召回率||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)||
AITD-01562|Recall-Oriented Understudy For Gisting Evaluation|ROUGE||[1]||
AITD-01563|Receiver Operating Characteristic|受试者工作特征|ROC|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)| |
AITD-01564|Receptive Field|感受野||[1]||
AITD-01565|Recirculation|再循环||[1]||
AITD-01566|Recognition Weight|认知权重||[1]||
AITD-01567|Recommender System|推荐系统||[1]||
AITD-01568|Reconstruction|重构||[1]||
AITD-01569|Reconstruction Error|重构误差||[1]||
AITD-01570|Rectangular Diagonal Matrix|矩形对角矩阵||[1]||
AITD-01571|Rectified Linear|整流线性||[1]||
AITD-01572|Rectified Linear Transformation|整流线性变换||[1]||
AITD-01573|Rectified Linear Unit|修正线性单元/整流线性单元|ReLU|[[1]](https://www.jiqizhixin.com/articles/2017-10-21-4)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)|CHAPTER 2|
AITD-01574|Rectifier Network|整流网络||[1]||
AITD-01575|Recurrence|循环||[1]||
AITD-01576|Recurrent Convolutional Network|循环卷积网络||[1]||
AITD-01577|Recurrent Multi-Layer Perceptron|循环多层感知器|RMLP|[1]||
AITD-01578|Recurrent Network|循环网络||[1]||
AITD-01579|Recurrent Neural Network|循环神经网络|RNN|[[1]](https://www.jiqizhixin.com/articles/2018-01-13-4)[[2]](https://www.jiqizhixin.com/articles/2018-01-05-5)[[3]](https://www.jiqizhixin.com/articles/2017-12-21-15)[[4]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)[[5]](https://www.nature.com/articles/s41557-021-00716-z)[[6]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)|机器学习|
AITD-01580|Recursive Neural Network|递归神经网络|RecNN|[1]||
AITD-01581|Reducible|可约的||[1]||
AITD-01582|Redundant Feature|冗余特征||[1]||
AITD-01583|Reference Model|参考模型||[1]||
AITD-01584|Region|区域||[1]||
AITD-01585|Regression|回归||[[1]](https://www.jiqizhixin.com/articles/2017-12-21-13)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)[[3]](https://www.nature.com/articles/s41557-021-00716-z)|统计|
AITD-01586|Regularization|正则化||[[1]](https://www.jiqizhixin.com/articles/2017-12-20)||
AITD-01587|Regularizer|正则化项||[1]||
AITD-01588|Reinforcement Learning|强化学习|RL|[[1]](https://www.jiqizhixin.com/articles/2018-01-17-3)[[2]](https://www.jiqizhixin.com/articles/2017-12-28-6)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)[[4]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)[[5]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3)|机器学习|
AITD-01589|Rejection Sampling|拒绝采样||[1]||
AITD-01590|Relation|关系||[1]||
AITD-01591|Relational Database|关系型数据库||[1]||
AITD-01592|Relative Entropy|相对熵||[1]||
AITD-01593|Relevant Feature|相关特征||[1]||
AITD-01594|Reparameterization|再参数化/重参数化||[1]||
AITD-01595|Reparametrization Trick|重参数化技巧||[1]||
AITD-01596|Replay Buffer|经验池||[1]||
AITD-01597|Representation|表示||[1]||
AITD-01598|Representation Learning|表示学习||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00372/978-1-78801-789-3)||
AITD-01599|Representational Capacity|表示容量||[1]||
AITD-01600|Representer Theorem|表示定理||[1]||
AITD-01601|Reproducing Kernel Hilbert Space|再生核希尔伯特空间|RKHS|[1]||
AITD-01602|Rescaling|再缩放||[1]||
AITD-01603|Reservoir Computing|储层计算||[1]||
AITD-01604|Reset Gate|重置门||[1]||
AITD-01605|Residual Blocks|残差块||[1]||
AITD-01606|Residual Connection|残差连接||[1]||
AITD-01607|Residual Mapping|残差映射||[1]||
AITD-01608|Residual Network|残差网络|ResNet|[[1]](https://www.jiqizhixin.com/articles/2017-12-18-2)||
AITD-01609|Residual Unit|残差单元||[1]||
AITD-01610|Residue Function|残差函数||[1]||
AITD-01611|Resolution Quotient|归结商||[1]||
AITD-01612|Restricted Boltzmann Machine|受限玻尔兹曼机|RBM|[[1]](https://www.jiqizhixin.com/articles/2017-10-08-4)||
AITD-01613|Restricted Isometry Property|限定等距性|RIP|[1]||
AITD-01614|Return|总回报||[1]||
AITD-01615|Reverse Correlation|反向相关||[1]||
AITD-01616|Reverse KL Divergence|逆向KL散度||[1]||
AITD-01617|Reverse Mode Accumulation|反向模式累加||[1]||
AITD-01618|Reversible Markov Chain|可逆马尔可夫链||[1]||
AITD-01619|Reward|奖励||[1]||
AITD-01620|Reward Function|奖励函数||[1]||
AITD-01621|Ridge Regression|岭回归||[1]||
AITD-01622|Riemann Integral|黎曼积分||[1]||
AITD-01623|Right Eigenvector|右特征向量||[1]||
AITD-01624|Right Singular Vector|右奇异向量||[1]||
AITD-01625|Risk|风险||[1]||
AITD-01626|Risk Function|风险函数||[1]||
AITD-01627|Robustness|稳健性||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)|计算机、机器学习|
AITD-01628|Root Node|根结点||[1]||
AITD-01629|Round-Off Error|舍入误差||[1]||
AITD-01630|Row|行||[1]||
AITD-01631|Rule Engine|规则引擎||[1]||
AITD-01632|Rule Learning|规则学习||[1]||
AITD-02433|Random Selection|随机选择| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)|统计|
AITD-02434|Raw Datasets|原始数据集| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)|机器学习|
AITD-02435|Root Mean Square Errors|均方根|RMSE|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00488/978-1-78801-789-3)|统计|
