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极限学习机ELM

于 2022-02-21 发布 文件大小:2.42 kB
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资源描述极限学习机(ELM)是从单隐藏层反馈神经网络(SLFNs)发展而来的,不同的是只要激活函数能够无穷可,则输入权值和隐藏层偏置就可以随机设置,而不需要迭代调整。这使得极限学习机不仅训练速度比传统的基于梯度算法快,而且避免了诸如局部最小以及过拟合的问题。

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