- 期刊
A Novel Spiking Perceptron That Can Solve XOR Problem
並列摘要
In this short note, we introduce a new architecture for spiking perceptron: The actual output is a linear combination of the firing time of the perceptron and the spiking intensity (the gradient of the state function) at the firing time. It is shown by numerical experiments that this novel spiking perceptron can solve the XOR problem, while a classical spiking neuron usually needs a hidden layer to solve the XOR problem.
延伸閱讀
- 吳家隆、許祥平、呂淯鼎、曹昱、李鴻欣、王新民（2017）。A Replay Spoofing Detection System Based on Discriminative Autoencoders。中文計算語言學期刊，22(2)，63-72。https://www.airitilibrary.com/Article/Detail?DocID=1027376x-201712-201801190007-201801190007-63-72
- BENAVIDES, T. D., FALSET, J. G., & PINEDA, M. A. J. (1998). THE τ-FIXED POINT PROPERTY FOR NONEXPANSIVE MAPPINGS. Abstract and Applied Analysis, 1998(), 343-362. https://doi.org/10.1155/S1085337598000591
- Peralta, A. M., Ng, C. K., Wong, N. C., & Yao, J. C. (2014). Preserver Problems on Function Spaces, Operator Algebras, and Related Topics. Abstract and Applied Analysis, 2014(), 123-124-1212. https://doi.org/10.1155/2014/723685
- Weng, C. C. (2002). The Learning of a Back-Propagation Artificial Neural Network. 華岡工程學報, (16), 163-173. https://doi.org/10.29987/CCUHKJE.200206.0009
- 吳欣鴻（2010）。A Study of Detection and Defense Process of ARP Spoofing〔碩士論文，國立虎尾科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0028-2801201017590100