> For the complete documentation index, see [llms.txt](https://jiqizhixin.gitbook.io/artificial-intelligence-terminology-database/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://jiqizhixin.gitbook.io/artificial-intelligence-terminology-database/data/n.md). # Letter N [*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-01259 | N-Gram | N元 | \[1] | | | | AITD-01260 | N-Gram Feature | N元特征 | \[1] | | | | AITD-01261 | N-Gram Model | N元模型 | \[1] | | | | AITD-01262 | Naive Bayes Algorithm | 朴素贝叶斯算法 | \[1] | | | | AITD-01263 | Naive Bayes Classifier | 朴素贝叶斯分类器 | \[1] | | | | AITD-01264 | Naive Bayes | 朴素贝叶斯 | NB | [\[1\]](https://www.jiqizhixin.com/articles/2017-11-20-6) | | | AITD-01265 | Named Entity Recognition | 命名实体识别 | \[1] | | | | AITD-01266 | Narrow Convolution | 窄卷积 | \[1] | | | | AITD-01267 | Nash Equilibrium | 纳什均衡 | \[1] | | | | AITD-01268 | Nash Reversion | 纳什回归 | \[1] | | | | AITD-01269 | Nats | 奈特 | \[1] | | | | AITD-01270 | Natural Exponential Decay | 自然指数衰减 | \[1] | | | | AITD-01271 | Natural Language Generation | 自然语言生成 | NLG | \[1] | | | AITD-01272 | Natural Language Processing | 自然语言处理 | NLP | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3)[\[2\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)[\[3\]](https://www.nature.com/articles/s41557-021-00716-z)[\[4\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3)[\[5\]](https://www.jiqizhixin.com/articles/2017-12-14-5)[\[6\]](https://www.jiqizhixin.com/articles/2017-11-14-4)[\[7\]](https://www.jiqizhixin.com/articles/2017-11-12-3) | 机器学习 | | AITD-01273 | Nearest Neighbor | 最近邻 | \[1] | | | | AITD-01274 | Nearest Neighbor Classifier | 最近邻分类器 | \[1] | | | | AITD-01275 | Nearest Neighbor Graph | 最近邻图 | \[1] | | | | AITD-01276 | Nearest Neighbor Regression | 最近邻回归 | \[1] | | | | AITD-01277 | Nearest-Neighbor Search | 最近邻搜索 | [\[1\]](https://www.jiqizhixin.com/articles/2018-01-24-3) | | | | AITD-01278 | Negative Class | 负类 | \[1] | | | | AITD-01279 | Negative Correlation | 负相关法 | \[1] | | | | AITD-01280 | Negative Definite | 负定 | \[1] | | | | AITD-01281 | Negative Log Likelihood | 负对数似然函数 | \[1] | | | | AITD-01282 | Negative Part Function | 负部函数 | \[1] | | | | AITD-01283 | Negative Phase | 负相 | \[1] | | | | AITD-01284 | Negative Sample | 负例 | \[1] | | | | AITD-01285 | Negative Sampling | 负采样 | \[1] | | | | AITD-01286 | Negative Semidefinite | 半负定 | \[1] | | | | AITD-01287 | Neighbourhood Component Analysis | 近邻成分分析 | NCA | \[1] | | | AITD-01288 | Nesterov Accelerated Gradient | Nesterov加速梯度 | NAG | \[1] | | | AITD-01289 | Nesterov Momentum | Nesterov动量法 | \[1] | | | | AITD-01290 | Net Activation | 净活性值 | \[1] | | | | AITD-01291 | Net Input | 净输入 | \[1] | | | | AITD-01292 | Network | 网络 | \[1] | | | | AITD-01293 | Network Capacity | 网络容量 | \[1] | | | | AITD-01294 | Neural Architecture Search | 神经架构搜索 | NAS | \[1] | | | AITD-01295 | Neural Auto-Regressive Density Estimator | 神经自回归密度估计器 | \[1] | | | | AITD-01296 | Neural Auto-Regressive Network | 神经自回归网络 | \[1] | | | | AITD-01297 | Neural Language Model | 神经语言模型 | \[1] | | | | AITD-01298 | Neural Machine Translation | 神经机器翻译 | [\[1\]](https://www.jiqizhixin.com/articles/2017-08-22-6) | | | | AITD-01299 | Neural Model | 神经模型 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3) | | | AITD-01300 | Neural Network | 神经网络 | NN | \[1] | | | AITD-01301 | Neural Turing Machine | 神经图灵机 | NTM | [\[1\]](https://www.jiqizhixin.com/articles/2017-04-11-7) | | | AITD-01302 | Neurodynamics | 神经动力学 | \[1] | | | | AITD-01303 | Neuromorphic Computing | 神经形态计算 | [\[1\]](https://www.jiqizhixin.com/articles/2017-09-26-4)[\[2\]](https://www.jiqizhixin.com/articles/2017-06-26-2)[\[3\]](https://www.jiqizhixin.com/articles/2017-06-16-6) | | | | AITD-01304 | Neuron | 神经元 | \[1] | | | | AITD-01305 | Newton Method | 牛顿法 | [\[1\]](https://www.jiqizhixin.com/articles/2017-03-11-2) | | | | AITD-01306 | No Free Lunch Theorem | 没有免费午餐定理 | NFL | [\[1\]](https://www.jiqizhixin.com/articles/2018-01-03-6) | | | AITD-01307 | Node | 结点 | \[1] | | | | AITD-01308 | Noise | 噪声 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3) | | | AITD-01309 | Noise Distribution | 噪声分布 | \[1] | | | | AITD-01310 | Noise-Contrastive Estimation | 噪声对比估计 | NCE | \[1] | | | AITD-01311 | Nominal Attribute | 列名属性 | \[1] | | | | AITD-01312 | Non-Autoregressive Process | 非自回归过程 | \[1] | | | | AITD-01313 | Non-Convex Optimization | 非凸优化 | [\[1\]](https://www.jiqizhixin.com/articles/2017-12-29-4) | | | | AITD-01314 | Non-Informative Prior | 无信息先验 | \[1] | | | | AITD-01315 | Non-Linear Model | 非线性模型 | \[1] | | | | AITD-01316 | Non-Linear Oscillation | 非线性振荡 | \[1] | | | | AITD-01317 | Non-Linear Support Vector Machine | 非线性支持向量机 | \[1] | | | | AITD-01318 | Non-Metric Distance | 非度量距离 | \[1] | | | | AITD-01319 | Non-Negative Matrix Factorization | 非负矩阵分解 | NMF | \[1] | | | AITD-01320 | Non-Ordinal Attribute | 无序属性 | \[1] | | | | AITD-01321 | Non-Parametric | 非参数 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3) | | | AITD-01322 | Non-Parametric Model | 非参数化模型 | \[1] | | | | AITD-01323 | Non-Probabilistic Model | 非概率模型 | \[1] | | | | AITD-01324 | Non-Saturating Game | 非饱和博弈 | \[1] | | | | AITD-01325 | Non-Separable | 不可分 | \[1] | | | | AITD-01326 | Nonconvex | 非凸 | \[1] | | | | AITD-01327 | Nondistributed | 非分布式 | \[1] | | | | AITD-01328 | Nondistributed Representation | 非分布式表示 | \[1] | | | | AITD-01329 | Nonlinear Autoregressive With Exogenous Inputs Model | 有外部输入的非线性自回归模型 | NARX | \[1] | | | AITD-01330 | Nonlinear Conjugate Gradients | 非线性共轭梯度 | \[1] | | | | AITD-01331 | Nonlinear Independent Components Estimation | 非线性独立成分估计 | \[1] | | | | AITD-01332 | Nonlinear Programming | 非线性规划 | \[1] | | | | AITD-01333 | Nonparametric Density Estimation | 非参数密度估计 | \[1] | | | | AITD-01334 | Norm | 范数 | \[1] | | | | AITD-01335 | Norm-Preserving | 范数保持性 | \[1] | | | | AITD-01336 | Normal Distribution | 正态分布 | \[1] | | | | AITD-01337 | Normal Equation | 正规方程 | \[1] | | | | AITD-01338 | Normalization | 规范化 | [\[1\]](https://www.nature.com/articles/s41557-021-00716-z) | 统计、机器学习 | | | AITD-01339 | Normalization Factor | 规范化因子 | \[1] | | | | AITD-01340 | Normalized | 规范化的 | \[1] | | | | AITD-01341 | Normalized Initialization | 标准初始化 | \[1] | | | | AITD-01342 | Nuclear Norm | 核范数 | \[1] | | | | AITD-01343 | Null Space | 零空间 | \[1] | | | | AITD-01344 | Number of Epochs | 轮数 | \[1] | | | | AITD-01345 | Numerator Layout | 分子布局 | \[1] | | | | AITD-01346 | Numeric Value | 数值 | \[1] | | | | AITD-01347 | Numerical Attribute | 数值属性 | \[1] | | | | AITD-01348 | Numerical Differentiation | 数值微分 | \[1] | | | | AITD-01349 | Numerical Method | 数值方法 | \[1] | | | | AITD-01350 | Numerical Optimization | 数值优化 | \[1] | | | | AITD-02397 | N-Dimensional Space | N维空间 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00372/978-1-78801-789-3) | | | AITD-02398 | Naive Bayesian | 朴素贝叶斯 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00251/978-1-78801-789-3) | 统计 | | AITD-02399 | Naive Bayesian Methods | 朴素贝叶斯方法 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00251/978-1-78801-789-3) | 统计 | | AITD-02400 | Named Entity Recognition，NER | 命名实体识别 | NER | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00280/978-1-78801-789-3) | | | AITD-02401 | Nearest Neighbors | 近邻 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3) | | | AITD-02402 | Nearest Neighbour Model | 近邻模型 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3) | | | AITD-02403 | Negative Predictive Value | 阴性预测值 | NPV | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3) | | | AITD-02404 | Network Architecture | 网络结构 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3) | 机器学习 | | AITD-02405 | Network Geometry | 网络几何 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3) | | | AITD-02406 | Neural Turing Machines | 神经图灵机 | NTM | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)[\[2\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3) | | | AITD-02407 | Neural-Network-Based Function | 基于神经网络的函数 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00251/978-1-78801-789-3) | | | AITD-02408 | Neurons | 神经元 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3) | 机器学习 | | AITD-02409 | Nuclear Magnetic Resonance | 核磁共振 | NMR | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3) | | | AITD-02410 | Noise Filters | 噪声过滤器 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3) | | | AITD-02411 | Noise-Free | 无噪的 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3) | | | AITD-02412 | Non-Linear | 非线性 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3) | 数学、统计 | | AITD-02413 | Non-Linear Correlation | 非线性相关 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00195/978-1-83916-023-3) | 统计 | | AITD-02414 | Non-Linearity | 非线性 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3) | | | AITD-02415 | Non-Parametric Algorithm | 非参数化学习算法 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3) | | | AITD-02416 | Non-Safety-Critical Applications | 非安全关键型应用 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3) | | | AITD-02417 | Non-Steady-State | 非稳态 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3) | | | AITD-02418 | Non-Stochastic | 非随机的 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00398/978-1-78801-789-3) | | | AITD-02419 | Non-Template | 非模板 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3) | | | AITD-02420 | Non-Template Methods | 非模板方法 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3) | | | AITD-02421 | Non-Zero Weight | 非零权重 | | [\[1\]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3) | |