predict下一个事件的发生，根据过去的事件 [英] Predict next event occurrence, based on past occurrences

问题描述

我在寻找一种算法，或例如材料研究为predicting基于已知模式未来的事件。或许有这个名字，我只是不知道/记得了。这东西一般可能不存在，但我不是数学或算法的高手，所以我在这里要求的方向发展。

I'm looking for an algorithm or example material to study for predicting future events based on known patterns. Perhaps there is a name for this, and I just don't know/remember it. Something this general may not exist, but I'm not a master of math or algorithms, so I'm here asking for direction.

一个例子，我的理解是这样的：

An example, as I understand it would be something like this:

一个静态的事件发生在1月1日，2月1日，3月3日，4月4日。一个简单的解决办法是平均的日/时/分/每次出现的东西，这个数字增加至最后为人所知的发生，并有prediction。

A static event occurs on January 1st, February 1st, March 3rd, April 4th. A simple solution would be to average the days/hours/minutes/something between each occurrence, add that number to the last known occurrence, and have the prediction.

我是什么要求，或者是我应该学习？

What am I asking for, or what should I study?

有一点没有特定的目标，或任何特定变量来解释。这是一个简单的个人的思想，并有机会对我来说，学习新的东西。

There is no particular goal in mind, or any specific variables to account for. This is simply a personal thought, and an opportunity for me to learn something new.

推荐答案

我觉得有些话题可能是值得探讨包括的数值分析，特别是<一个href="http://en.wikipedia.org/wiki/Numerical%5Fanalysis#Interpolation.2C%5Fextrapolation.2C%5Fand%5Fregression"相对=nofollow>内插，外插和回归。

I think some topics that might be worth looking into include numerical analysis, specifically interpolation, extrapolation, and regression.

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