首页> 外文OA文献 >Seepage Time Soft Sensor Model of Nonwoven Fabric Based on the Extreme Learning Machine Integrating Monte Carlo

【2h】

Seepage Time Soft Sensor Model of Nonwoven Fabric Based on the Extreme Learning Machine Integrating Monte Carlo

机译：基于极端学习机整合蒙特卡罗的非织造面料渗流时间软传感器模型

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Jing Zhang; Yiqiang Fan; Lulu Zhang; Chi Xu; Xiaobin Dong; Luyao Liu; Zhongping Zhang; Xianbo Qiu;
展开▼
作者单位

展开▼
年度 2021
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. A Soft Sensor Based on the Integration of Tikhonov Extreme Learning Machine and Accelerated Kernels for Real-Time Estimation of Automotive Catalyst Temperatures [J] . Ahmad Mozaffari, Nasser L. Azad International Journal of Computational Intelligence and Applications . 2015,第4期

机译：基于Tikhonov极限学习机和加速内核集成的软传感器，用于实时估算汽车催化剂温度
2. Production capacity prediction of hydropower industries for energy optimization: Evidence based on novel extreme learning machine integrating Monte Carlo [J] . Wang Ying, Liu Jiajun, Han Yongming Journal of Cleaner Production . 2020,第Nova1期

机译：高能量优化水电产业的生产能力预测：基于新型极端学习机整合蒙特卡罗的证据
3. Soft sensor development for the key variables of complex chemical processes using a novel robust bagging nonlinear model integrating improved extreme learning machine with partial least square [J] . He YanLin, Geng ZhiQiang, Zhu QunXiong Chemometrics and Intelligent Laboratory Systems . 2016,第Null期

机译：使用集成了改进的极限学习机和偏最小二乘的新型鲁棒装袋非线性模型，对复杂化学过程的关键变量进行软传感器开发
4. Soft Sensor Modeling Based on Extreme Learning Machine and Case-Based Reasoning [C] . Chunning Song, Fang Li, Liang Xiao, International Conference on Intelligent Human-Machine Systems and Cybernetics . 2015

机译：基于极限学习机和案例推理的软传感器建模
5. A Medley of Ising Models: Monte Carlo Solutions and Machine Learning Applications [D] . Almada, Demetrius J. 2018

机译：Ising模型的混合形式：蒙特卡洛解决方案和机器学习应用
6. Seepage Time Soft Sensor Model of Nonwoven Fabric Based on the Extreme Learning Machine Integrating Monte Carlo [O] . Jing Zhang, Yiqiang Fan, Lulu Zhang, 2021

机译：基于极端学习机整合蒙特卡罗的非织造面料渗流时间软传感器模型
7. Adaptive Hybrid Soft-Sensor Model of Grinding Process Based on Regularized Extreme Learning Machine and Least Squares Support Vector Machine Optimized by Golden Sine Harris Hawk Optimization Algorithm [O] . Wei Xie, Jie-sheng Wang, Cheng Xing, 2020

机译：基于正规化的极端学习机的研磨过程自适应混合软传感器模型及最小二乘支持向量机优化Golden Sine Harris Hawk优化算法

Seepage Time Soft Sensor Model of Nonwoven Fabric Based on the Extreme Learning Machine Integrating Monte Carlo

著录项

引文网络

相似文献

相关主题

期刊订阅