# Letter F
[*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-00610|F Measure|F值||[1]||
AITD-00611|F-Score|F分数||[1]||
AITD-00612|Factor|因子||[1]||
AITD-00613|Factor Analysis|因子分析||[1]||
AITD-00614|Factor Graph|因子图||[1]||
AITD-00615|Factor Loading|因子负荷量||[1]||
AITD-00616|Factorization|因子分解||[1]||
AITD-00617|Factorized|分解的||[1]||
AITD-00618|Factors of Variation|变差因素||[1]||
AITD-00619|False Negative|假负例||[1]||
AITD-00620|False Positive|假正例||[1]||
AITD-00621|False Positive Rate|假正例率|FPR|[1]||
AITD-00622|Fast Dropout|快速暂退法||[1]||
AITD-00623|Fast Persistent Contrastive Divergence|快速持续性对比散度||[1]||
AITD-00624|Fault-Tolerant Asynchronous Training|容错异步训练||[1]||
AITD-00625|Feasible|可行||[1]||
AITD-00626|Feature|特征||[1]||
AITD-00627|Feature Engineering|特征工程||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)||
AITD-00628|Feature Extraction|特征抽取| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-00629|Feature Extractor|特征提取器||[1]||
AITD-00630|Feature Function|特征函数||[1]||
AITD-00631|Feature Map|特征图||[1]||
AITD-00632|Feature Scaling Transform|特征尺度变换||[1]||
AITD-00633|Feature Selection|特征选择||[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00206/978-1-83916-023-3)||
AITD-00634|Feature Space|特征空间||[1]||
AITD-00635|Feature Vector|特征向量||[1]||
AITD-00636|Featured Learning|特征学习||[1]||
AITD-00637|Feedback|反馈||[1]||
AITD-00638|Feedforward|前馈||[1]||
AITD-00639|Feedforward Classifier|前馈分类器||[1]||
AITD-00640|Feedforward Network|前馈网络||[1]||
AITD-00641|Feedforward Neural Network|前馈神经网络|FNN|[[1]](https://www.jiqizhixin.com/articles/2017-09-07-9)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00424/978-1-78801-789-3)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)||
AITD-00642|Few-Shot Learning|少试学习||[1]||
AITD-00643|Fidelity|逼真度||[1]||
AITD-00644|Field Programmable Gated Array|现场可编程门阵列||[1]||
AITD-00645|Filter|滤波器||[1]||
AITD-00646|Filter Method|过滤式方法||[1]||
AITD-00647|Fine-Tuning|微调||[1]||
AITD-00648|Finite Difference|有限差分||[1]||
AITD-00649|First Layer|第一层||[1]||
AITD-00650|First-Order Method|一阶方法||[1]||
AITD-00651|First-Order Rule|一阶规则||[1]||
AITD-00652|Fisher Information Matrix|Fisher信息矩阵||[1]||
AITD-00653|Fixed Point Equation|不动点方程||[1]||
AITD-00654|Fixed-Point Arithmetic|不动点运算||[1]||
AITD-00655|Flat Minima|平坦最小值||[1]||
AITD-00656|Flip|翻转||[1]||
AITD-00657|Flipping Output|翻转法||[1]||
AITD-00658|Float-Point Arithmetic|浮点运算||[1]||
AITD-00659|Fluctuation|振荡||[1]||
AITD-00660|Focus Attention|聚焦式注意力||[1]||
AITD-00661|Folk Theorem|无名氏定理||[1]||
AITD-00662|Forget Gate|遗忘门||[1]||
AITD-00663|Forward|前向||[1]||
AITD-00664|Forward KL Divergence|前向KL散度||[1]||
AITD-00665|Forward Mode Accumulation|前向模式累加||[1]||
AITD-00666|Forward Propagation|前向传播/正向传播||[1]||
AITD-00667|Forward Search|前向搜索||[1]||
AITD-00668|Forward Stagewise Algorithm|前向分步算法||[1]||
AITD-00669|Forward-Backward Algorithm|前向-后向算法||[1]||
AITD-00670|Fourier Transform|傅立叶变换||[1]||
AITD-00671|Fovea|中央凹||[1]||
AITD-00672|Fractionally Strided Convolution|微步卷积||[1]||
AITD-00673|Free Energy|自由能||[1]||
AITD-00674|Frequentist|频率主义学派||[1]||
AITD-00675|Frequentist Probability|频率派概率||[1]||
AITD-00676|Frequentist Statistics|频率派统计||[1]||
AITD-00677|Frobenius Norm|Frobenius 范数||[1]||
AITD-00678|Full|全||[1]||
AITD-00679|Full Conditional Distribution|满条件分布||[1]||
AITD-00680|Full Conditional Probability|全条件概率||[1]||
AITD-00681|Full Padding|全填充||[1]||
AITD-00682|Full Singular Value Decomposition|完全奇异值分解||[1]||
AITD-00683|Full-Rank Matrix|满秩矩阵||[1]||
AITD-00684|Fully Connected Layer|全连接层||[1]||
AITD-00685|Fully Connected Neural Network|全连接神经网络|FCNN|[1]||
AITD-00686|Fully Convolutional Network|全卷积网络|FCN|[1]||
AITD-00687|Function|函数||[1]||
AITD-00688|Functional|泛函||[1]||
AITD-00689|Functional Derivative|泛函导数||[1]||
AITD-00690|Functional Margin|函数间隔||[1]||
AITD-00691|Functional Neuron|功能神经元||[1]||
AITD-02234|Faber-Christensen-Huang-Lilienfeld|Faber-Christensen-Huang-Lilienfeld|FCHL|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| 四个人提出的化学结构量子机器学习方法|
AITD-02235|Facial Recognition|面部识别| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00001/978-1-78801-789-3)| |
AITD-02236|FAIR Data Principles|FAIR数据原则| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)| Findability可找寻 Accessibility可访问 Interoperability可交互 Reuse可再用|
AITD-02237|False Negatives|假阴性|FNs|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)| |
AITD-02238|False Positives|假阳性|FPs|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00016/978-1-78801-789-3)| |
AITD-02239|Fchl Representation|Fchl 表示| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00076/978-1-78801-789-3)| |
AITD-02240|Feature Binarization|特征二值化| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
AITD-02241|Feature Transform|特征变换| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)| |
AITD-02242|Feature Vectors|特征向量| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00372/978-1-78801-789-3)| |
AITD-02243|Features|特征| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)| |
AITD-02244|Feed Back|反馈| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00037/978-1-78801-789-3)| |
AITD-02245|Feed-Forward Neural Networks|前馈神经网络|FFNN|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00227/978-1-78801-789-3)[[2]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00488/978-1-78801-789-3)[[3]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3)| |
AITD-02246|Feedback Structure|反馈结构| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00109/978-1-78801-789-3)| |
AITD-02247|Final Evaluation|最终评估| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02248|Findable, Accessible, Interoperable, Reusable|可查找、可访问、可互操作、可重用|FAIR|[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02249|First-Principles|第一性原理| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02250|Flow Rate|流速| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)| |
AITD-02251|Forward Cross-Validation|前向交叉验证| |[[1]](https://www.nature.com/articles/s41557-021-00716-z)| |
AITD-02252|Forward Prediction|前向预测| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00136/978-1-78801-789-3)| |
AITD-02253|Forward Reaction Prediction|前向反应预测| |[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00169/978-1-78801-789-3)| |
AITD-02254|Fuzzy Logic|模糊逻辑|FL|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00340/978-1-78801-789-3)| |
AITD-02255|Fuzzy Neural Networks|模糊神经网络|FNN|[[1]](https://pubs.rsc.org/en/content/chapter/bk9781788017893-00311/978-1-78801-789-3)| |
