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神经网络(Neural network)
2004-12-20       维基百科    点击: 4174
神经网络(Neural network)

A neural network is an interconnected group of neurons. The prime examples are of course biological neural networks, especially the human brain. In modern usage, researchers often refer to an artificial neural network (ANN) simply as a neural network or neural net for short, and this is the sense that is used in the rest of this article until proper disambiguation is done.

A neural network is a mathematical or computational model for information processing based on a connectionist approach to computation. The original inspiration for the technique was from examination of bioelectrical networks in the brain formed by neurons and their synapses. In a neural network model, simple nodes (or "neurons", or "units") are connected together to form a network of nodes - hence the term "neural network".

神经网络可分为生物神经网络和人工神经网络两大类。

生物神经网络一般指生物的大脑神经元,细胞,触点等组成的网络,用于产生生物的意识,帮助生物进行思考和行动。

人工神经网络一般是指用计算机模拟人脑的结构,用许多小的处理单元模拟生物的神经元,用算法实现人脑的识别、记忆、思考过程。应用于图像、语言、声音等的识别,复杂的计算,以及趋势预测等领域。

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