在人工智能中通过后向传播算法进行Hangman游戏 [英] Hangman Game Via Backward Propagation Algorithm in Aritficial Intelligence

问题描述

我想在人工智能课程中为我的学期项目使用Backward Propagation 算法实现Hangman Game。但我不知道算法的基本和工作。如果有人知道这个算法请分享信息。

I want to to implement Hangman Game using Backward Propagation Algorithm for my semester project in the course of Artificial Intelligence. But I didn't Know the Basic and Working of Algorithm. If anyone knows about this algorithm please Share the information.

推荐答案

谷歌是你的朋友：好的并经常拜访他。他可以比在这里发布问题更快地回答问题...



一次非常快速的搜索得到了4个半数的结果：https:// www.google.co.uk/search?q=Backward+Propagation+Algorithm&oq=Backward+Propagation+Algorithm&aqs=chrome.0.57&sourceid=chrome&ie=UTF-8 [ ^ ]



将来，请尝试自己做至少基础研究，不要浪费你的时间或我们的。

Google is your friend: Be nice and visit him often. He can answer questions a lot more quickly than posting them here...

A very quick search gave 4 1/2 million results: https://www.google.co.uk/search?q=Backward+Propagation+Algorithm&oq=Backward+Propagation+Algorithm&aqs=chrome.0.57&sourceid=chrome&ie=UTF-8[^]

In future, please try to do at least basic research yourself, and not waste your time or ours.

反向传播算法通常是递归的，是训练神经网络的一种方法。这里的关键点是你必须训练具有已知输出的网络，这被称为学习阶段，然后在最后阶段（学习）学习权重，神经网络可以接收新病例并正确地提供分类，或者在这种情况下是一个决定。

The backward propagation algorithm is usually recursive and is a way to train neural networks. The key point here is that you have to train the network with known outputs, this is known as the learning phase, then with the weights learn during the last phase (learning) the neural network can received new cases and correctly provided a classification, or in this case a decision.

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