Single-sample learning method and a type of brain activation function

Dan Xia; Junyang Tan; Honghao Zhu; Shiyun Dong; Binshi Xu

doi:10.1117/12.2505186

31 August 2018 Single-sample learning method and a type of brain activation function

Dan Xia, Junyang Tan, Honghao Zhu, Shiyun Dong, Binshi Xu

Proceedings Volume 10835, Global Intelligence Industry Conference (GIIC 2018); 1083506 (2018) https://doi.org/10.1117/12.2505186
Event: Global Intelligent Industry Conference 2018, 2018, Beijing, China

Abstract

The theoretical framework for neural networks remains incomplete. simulation of the single sample identification process in humans demonstrated that single-sample learning could generate a good generalization model. With the new activation function, we could simulate the frequency response characteristics of different neuronal types and obtained good normalization. Our study demonstrated the similarities between artificial neural networks and human brain processes.

Citation Download Citation

Dan Xia, Junyang Tan, Honghao Zhu, Shiyun Dong, and Binshi Xu "Single-sample learning method and a type of brain activation function", Proc. SPIE 10835, Global Intelligence Industry Conference (GIIC 2018), 1083506 (31 August 2018); https://doi.org/10.1117/12.2505186

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