相关实验视频

Updated: Jul 21, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.9K

一个新的基于ANN的特征子集选择在多尺度颗粒状球邻里决策表中

Lujing Zhang1, Guoping Lin2, Ling Wei3

  • 1School of Mathematics and Statistics, Minnan Normal University, Zhangzhou, Fujian 363000, China; Fujian Key Laboratory of Granular Computing and Applications, Zhangzhou, Fujian 363000, China.

Neural networks : the official journal of the International Neural Network Society
|January 30, 2025
PubMed
概括

这项研究引入了新的特征子集选择算法,结合了颗粒状球邻近粗略集和人工神经网络. 这些方法有效地解决了高度复杂性和缺失的数据,改进了隆模型的应用.

关键词:
人工神经网络的人工神经网络特性子集的选择 特性子集的选择有颗粒的球计算.多个尺度的多个尺度.邻里粗的设置设置.

更多相关视频

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

455

相关概念视频

End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting the...