官方服务:
资源简介:
Controlling factors to be utilized in ANN
应用场景:
创建时间:
2021-06-03
相关数据集
Optimized Artificial Neural Network-Based Mathematical Model and Software Application for Predicting Raw Mix Lime Saturation Factor for High-Quality Cement Production
This study develops LSF predictive models by employing artificial neural networks (ANN) optimized with particle swarm optimization (PSO), Levenberg–Marquardt (LM), and genetic algorithms (GA), using m
DataCite Commons2025-05-01 更新120
Artificial neural networks application to predict bond steel-concrete in pull-out tests
Abstract This study aims the possibility of using the pull-out test results - bond tests steel-concrete, that has been successfully carried out by the research group APULOT since 2008 [1]. This resear
DataCite Commons2020-08-31 更新80
Characteristics of the impact pressure of debris flows
The measured impact pressure signal, dynamic fluid pressure at the flume exit, basal total normal stress and pore pressure at x = 3.2 m
NIAID Data Ecosystem80
Training and testing dataset
Training and testing dataset for ANN VTKEL model.
DataCite Commons2020-10-14 更新110
舟曲三眼峪、罗家峪泥石流沿程流量计算数据
舟曲三眼峪、罗家峪沿程沟道断面尺寸、沟道泥石流流速、流量的变化。根据断面的尺寸以及泥痕高度,运用曼宁公式对沿程的流量和流速进行计算;然后根据流量和流速的沿程变化趋势,找出泥石流的流量激增点,作为本项研究的原型。
国家地球系统科学数据中心2017-11-12 更新80



