Lec6 - School of Computer Science and Technology University...

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Nature Inspired Computation and Applications Laboratory School of Computer Science and Technology University of Science and Technology of China Pattern Recognition Lecture 6 Neural Networks April 8, 2011
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Nature Inspired Computation and Applications Laboratory 主要内容 神经元模型 双层神经网络 多层神经网络 前馈运算 反向传播 (Back Propagation, BP) 算法 BP 算法中的一些细节
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Nature Inspired Computation and Applications Laboratory 神经元模型 f w net y b x () net wx b y f net  w b 是可调标量参数, f 是传输函数 ( 激活函数 )
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Nature Inspired Computation and Applications Laboratory 常见传输函数 硬极限函数 线性函数 Log-Sigmoid 函数 00 () 10 x fx x f x x 1 1 x e
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Nature Inspired Computation and Applications Laboratory 双层神经网络 f f f 1 x 2 x 3 x d x 1 b b s b 1 net net s net 1 y y s y 输入层 输出层 1,1 w , sd w 1 () d j i ji j i jj T net x w b y f net f  y w x b
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Nature Inspired Computation and Applications Laboratory w 0 T  w x b 双层神经网络可以 实现线性分类
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Nature Inspired Computation and Applications Laboratory 学习规则 将输入作用到网络上,得到输出,与目标 输出比较,由此得到 w b ,用于修改 w b w ’= w + w b ’= b + b 设输入为 x ,目标输出 ( 比如 , 类号 ) t ,实际 输出为 y ,考虑最简单的情况
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Lec6 - School of Computer Science and Technology University...

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