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发帖数: 481 | | a***m
发帖数: 5037 | 2 维基百科上这一段简明 清楚
In machine learning and cognitive science, artificial neural networks (ANNs)
are a family of models inspired by biological neural networks (the central
nervous systems of animals, in particular the brain) and
are used to estimate or approximate functions
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that can depend on a large number of inputs and are generally unknown.
Artificial neural networks are generally presented as systems of
interconnected "neurons" which exchange messages between each other. The
connections have numeric weights that can be tuned based on experience,
making neural nets adaptive to inputs and capable of learning. | a****t
发帖数: 7049 | 3 神经网是一种小单元组成的运算构架，其主要特征为：它可以模拟很广泛的函数类别，
它模拟的函数之导数容易用同样的构架表达，它的每个小单元运算非常简单。因此在一
个神经网上通过提供不同的数据为模范的输入和输出样本，运用相对简单粗暴的数值优
化手段，即可在可接受的运算成本内找到泛化样本的函数。 |
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