S函数
常見的S函數
- 廣義邏輯函數
- 平滑階躍函數
- 一些代數函數, 例如
所有連續非負的凸形函數的積分都是S函數,因此許多常見概率分布的累积分布函数會是S函數。一個常見的例子是误差函数,它是正态分布的累积分布函数。
参考资料
- Mitchell, Tom M. . WCB–McGraw–Hill. 1997. ISBN 0-07-042807-7.. In particular see "Chapter 4: Artificial Neural Networks" (in particular pp. 96–97) where Mitchell uses the word "logistic function" and the "sigmoid function" synonymously – this function he also calls the "squashing function" – and the sigmoid (aka logistic) function is used to compress the outputs of the "neurons" in multi-layer neural nets.
- Humphrys, Mark. . [2015-02-01]. (原始内容存档于2015-02-02). Properties of the sigmoid, including how it can shift along axes and how its domain may be transformed.
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