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基于尖端神经P系统的储计算模型用于时间序列分类

Hong Peng1, Xin Xiong1, Min Wu1

  • 1School of Computer and Software Engineering, Xihua University, Chengdu, 610039, China.

Neural networks : the official journal of the International Neural Network Society
|November 2, 2023
PubMed
概括

研究人员开发了两种使用非线性尖端神经P (NSNP) 系统进行时间序列分类的新型储水库计算变体. 这些基于NSNP的模型,RC-SNP和RC-RMS-SNP,在基准数据集上显示出有效性.

关键词:
非线性尖端神经P系统的非线性尖端神经P系统经常性的神经网络.储水库计算器 储水库计算时间序列分类时间序列分类

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