📜  神经网络与模糊逻辑的区别

📅  最后修改于: 2022-05-13 01:58:08.988000             🧑  作者: Mango

神经网络与模糊逻辑的区别

神经网络:
神经网络是一种信息处理系统,其灵感来自于大脑等生物神经系统处理信息的方式。神经网络由大量互连的处理元素组成,称为神经元,用于解决问题。神经网络是尝试制作人脑的计算机模型,而神经网络是并行计算设备。神经网络的简单图如下所示:

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模糊逻辑:
模糊一词表示不清楚的事物。在现实世界中很多时候我们会发现无法确定状态是真还是假的情况,它们的模糊逻辑为推理提供了非常宝贵的灵活性。通过这种方式,我们可以考虑任何情况的不准确和不确定性。模糊逻辑的简单图如下所示:

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神经网络与模糊逻辑的区别

Neural NetworkFuzzy Logic
This system can not easily modified.This system can easily modified.
It trains itself by learning from data setEverything must be defined explicitly.
It is complex than fuzzy logic.It is simpler than neural network.
It helps to perform predictions.It helps to perform pattern recognition.
Difficult to extract knowledge.Knowledge can easily extracted.
It based on learning.It doesn’t base on learning.