Scaling of Hodge-Kodaira Decomposition Distinguishes Learning Rules of Neural Networks

来源 :第八届工业与应用数学国际大会 | 被引量 : 0次 | 上传用户：wll201

【摘要】

：

　　We applied the Hodge-Kodaira decomposition,a topological method to count global loops,to neural networks with different learning rules and edge densities.

【作者】

：

Miura Keiji Aoki Takaaki

【机构】

：

Kwansei Gakuin Univ.

【出处】

：

第八届工业与应用数学国际大会

【发表日期】

：

2015年期

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　　We applied the Hodge-Kodaira decomposition,a topological method to count global loops,to neural networks with different learning rules and edge densities.

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Scaling of Hodge-Kodaira Decomposition Distinguishes Learning Rules of Neural Networks

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