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:
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:
神经网络与模糊逻辑的区别
Neural Network | Fuzzy Logic |
---|---|
This system can not easily modified. | This system can easily modified. |
It trains itself by learning from data set | Everything 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. |