https://blog.youkuaiyun.com/qq_56577959zh-cnhttps://blog.youkuaiyun.com/https://blog.youkuaiyun.com/qq_56577959/article/details/156106948https://blog.youkuaiyun.com/qq_56577959/article/details/156106948qq_56577959Thu, 16 Jul 2026 09:10:12 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/155673743https://blog.youkuaiyun.com/qq_56577959/article/details/155673743qq_56577959Thu, 16 Jul 2026 09:00:48 +0800+b，表示w和x做内积，b是偏置。2.2、定义公式：，这里每个f都可以认为是一个具体的单隐层神经网络，x对应输入的有r个特征值的向量，是对进行线性变换，G对应激活函数，论文中说G是博雷尔可测函数，q表示隐藏层有多少个隐藏单元，对应隐藏层到输出层的权重，这个网络的输出是让隐藏单元乘以对应的然后求和得到的。2.3、压缩函数定义：，并且压缩函数是博雷尔可测函数。]]>https://blog.youkuaiyun.com/qq_56577959/article/details/155913748https://blog.youkuaiyun.com/qq_56577959/article/details/155913748qq_56577959Thu, 16 Jul 2026 08:59:51 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/157510747https://blog.youkuaiyun.com/qq_56577959/article/details/157510747qq_56577959Thu, 16 Jul 2026 08:56:44 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/160991145https://blog.youkuaiyun.com/qq_56577959/article/details/160991145qq_56577959Mon, 11 May 2026 19:01:12 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/160088797https://blog.youkuaiyun.com/qq_56577959/article/details/160088797qq_56577959Sun, 12 Apr 2026 21:46:56 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/160056069https://blog.youkuaiyun.com/qq_56577959/article/details/160056069qq_56577959Sat, 11 Apr 2026 20:30:11 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/159614756https://blog.youkuaiyun.com/qq_56577959/article/details/159614756qq_56577959Tue, 07 Apr 2026 21:38:02 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/159888150https://blog.youkuaiyun.com/qq_56577959/article/details/159888150qq_56577959Mon, 06 Apr 2026 16:36:51 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/159804739https://blog.youkuaiyun.com/qq_56577959/article/details/159804739qq_56577959Sun, 05 Apr 2026 14:49:07 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/159584303https://blog.youkuaiyun.com/qq_56577959/article/details/159584303qq_56577959Sun, 29 Mar 2026 15:26:58 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/154703352https://blog.youkuaiyun.com/qq_56577959/article/details/154703352qq_56577959Fri, 13 Mar 2026 10:49:46 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/149386396https://blog.youkuaiyun.com/qq_56577959/article/details/149386396qq_56577959Thu, 12 Mar 2026 16:38:14 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/156791098https://blog.youkuaiyun.com/qq_56577959/article/details/156791098qq_56577959Sat, 10 Jan 2026 12:35:53 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/156755561https://blog.youkuaiyun.com/qq_56577959/article/details/156755561qq_56577959Fri, 09 Jan 2026 11:07:36 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/156608406https://blog.youkuaiyun.com/qq_56577959/article/details/156608406qq_56577959Mon, 05 Jan 2026 16:21:44 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/156576925https://blog.youkuaiyun.com/qq_56577959/article/details/156576925qq_56577959Sun, 04 Jan 2026 20:50:41 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/156360699https://blog.youkuaiyun.com/qq_56577959/article/details/156360699qq_56577959Sun, 28 Dec 2025 14:40:58 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/150989064https://blog.youkuaiyun.com/qq_56577959/article/details/150989064qq_56577959Sun, 28 Dec 2025 11:17:59 +0800https://blog.youkuaiyun.com/qq_56577959/article/details/156237199https://blog.youkuaiyun.com/qq_56577959/article/details/156237199qq_56577959Wed, 24 Dec 2025 16:48:05 +0800