输入: x, y, 1 输出目标: 1; 权重使用上下界，输出误差平均分摊到每个输入中，若无法线性可分则生成下层神经元，若输出超出1，则分裂为两个神经元
根据权重变化得出最终权重的区间判断是否线性可分，若不能线性可分，则在本层和下一层都增加一个神经元 第一次反馈时，输出误差平均分摊到上层每个输入中，以yita作为乘子，当yita<1时，可以防止因为单个离群点导致整个神经网络产生错误 第二次反馈时，输出误差平均分摊到倒数第二层输入中
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A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Typescript
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Django
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Laravel
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Facebook
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Microsoft
Open source projects and samples from Microsoft.
Google
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Alibaba
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Tencent
China tencent open source team.
