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BACK-PROPAGATION: 作品数：60被引量：203H指数：6; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：胡雪棉赵国浩徐猛王广民秦娟更多>>; 相关机构：山西财经大学中国地质大学北京交通大学上海理工大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金湖北省自然科学基金天津市高等学校科技发展基金计划项目更多>>

The DNN-based DBP scheme for nonlinear compensation and longitudinal monitoring of optical fiber links: 《Digital Communications and Networks》2025年第1期43-51,共9页Feiyu Li Xian Zhou Yuyuan Gao Jiahao Huo Rui Li Keping Long; supported by the National Key Research and Development Program of China (2019YFB1803905);the National Natural Science Foundation of China (No.62171022);Beijing Natural Science Foundation (4222009);Guangdong Basic and Applied Basic Research Foundation (2021B1515120057);the Scientific and Technological Innovation Foundation of Shunde Graduate School,USTB (No.BK19AF005)。; In this paper,a double-effect DNN-based Digital Back-Propagation(DBP)scheme is proposed and studied to achieve the Integrated Communication and Sensing(ICS)ability,which can not only realize nonlinear damage mitigatio...; 关键词：Digital back-propagation Deep neural network Nonlinear interference mitigation Optical fiber communications Power profile estimation Split-step fourier method

Prediction of Disease Transmission Risk in Universities Based on SEIR and Multi-hidden Layer Back-propagation Neural Network Model: 《IJLAI Transactions on Science and Engineering》2024年第1期24-31,共8页Jiangjiang Li Lijuan Feng; supported by Key research Project of higher education institutions in Henan Province(Project:Name:A Study on Students’concentration in Class Based on Deep Multi-task Learning Framework,Project No.23B413004);the Science and Technology Project No.222102310222.; Against the background of regular epidemic prevention and control,in order to ensure the return of teachers to work,students to return to school and safe operation of schools,the risk of disease transmission is analyz...; 关键词：Disease transmission SEIR model PREDICTION Stacked sparse denoising automatic coding network

基于线上线下混合的《智能检测技术》课程教学改革探讨被引量：3: 《科技资讯》2022年第21期187-190,227,共5页邱宪波苗桂君; 国家自然科学基金《带核酸提取的一体化对流CPCR微流控核酸诊断方法研究》(项目编号:81871505)。; 在分析智能检测技术课程传统课堂教学不足的基础上,提出基于线上线下相结合的混合式教学的课程教学新模式,并进一步探讨在该教学模式下的课堂和实验教学的教学内容和教学方法,实行与该教学模式相匹配的成绩评价体系。实践证明,线上线下...; 关键词：智能检测技术教学改革人工智能 BP(Back-Propagation)神经网络

Stochastic speed prediction for connected vehicles using improved bayesian networks with back propagation被引量：3: 《Science China(Technological Sciences)》2022年第7期1524-1536,共13页WANG LiHua CUI YaHui ZHANG FengQi COSKUN Serdar LIU KaiLong LI GuangLei; supported by the National Natural Science Foundation of China (Grant Nos. 51905419 and 51175419)。; Advanced vehicular control technologies rely on accurate speed prediction to make ecological and safe decisions. This paper proposes a novel stochastic speed prediction method for connected vehicles by incorporating a...; 关键词：connected vehicles stochastic vehicular speed prediction Bayesian network BACK-PROPAGATION

W颗粒增强Ti基金属−金属复合材料的准静态和动态力学行为被引量：1: 《中国有色金属学报》2022年第1期66-75,共10页李谋周睿杜萌曹远奎刘彬刘咏; 国家自然科学基金资助项目(51625404)。; Ti基金属−金属复合材料具有良好的强度和塑性等综合性能。采用扫描电子显微术(SEM)、X射线衍射(XRD)、材料力学性能试验、分离式霍普金森压杆(SHPB)、MATALAB软件等分析技术研究了W颗粒增强Ti基金属−金属复合材料(Ti-W)在准静态和动态...; 关键词：Ti-W金属−金属复合材料应变速率强化 Johnson-Cook(JC)本构模型 Back-Propagation(BP)神经网络模型

随机OD需求下城市道路交通网络设计问题的BP神经网络算法研究被引量：10: 《系统工程理论与实践》2021年第11期3009-3019,共11页李玉祺王广民徐猛; 国家自然科学基金(72071184,71890971,71991482)。; 本文应用反向传播(back-propagation,BP)神经网络方法研究随机Origin-Destination(OD)需求的城市道路交通网络设计问题.假设OD交通需求量服从某一分布,首先通过蒙特卡罗模拟的方法得到训练样本对神经网络进行训练并用测试样本测试所得...; 关键词：随机Origin-Destination(OD)需求双层规划模型蒙特卡罗模拟 back-propagation(BP)神经网络

碳中和背景下基于BP神经网络的电费成本管理: 《商业会计》2021年第12期82-86,共5页邓君令; 在国家碳中和目标的背景下,研究高耗能大中型企业动力能耗(电费成本费用)管控程序,探索一种基于BP神经网络学习算法的电费成本管理方法,实现成本事前预测、事中控制和事后分析方法;通过梳理企业财务类数据之间或财务与非财务类数据之间...; 关键词：碳中和成本管理 BP(Back-Propagation 反向传播) 神经网络

神经网络优化的无感永磁同步电机控制系统被引量：7: 《系统仿真学报》2021年第3期622-630,共9页马立新朱勇杰季乐延; 国家自然科学基金(6120576)。; 针对永磁同步电机(Permanent Magnet Synchronous Motor,PMSM)转速和转子位置容易受到传感器传输信号精度不佳的问题,提出了扩展卡尔曼滤波算法来测算电机转速和转子位置的无传感控制系统,采用BP (Back-ProPagation)神经网络算法优化EKF...; 关键词：永磁同步电机扩展卡尔曼滤波 BP(Back-ProPagation)神经网络速度滑模前馈解耦

A Multi-View Gait Recognition Method Using Deep Convolutional Neural Network and Channel Attention Mechanism被引量：2: 《Computer Modeling in Engineering & Sciences》2020年第10期345-363,共19页Jiabin Wang Kai Peng; This work was supported by the Natural Science Foundation of China(No.61902133);Fujian natural science foundation project(No.2018J05106);Xiamen Collaborative Innovation projects of Produces study grinds(3502Z20173046)。; In many existing multi-view gait recognition methods based on images or video sequences,gait sequences are usually used to superimpose and synthesize images and construct energy-like template.However,information may b...; 关键词：EMG signal capture channel attention mechanism convolutional neural network MULTI-VIEW gait recognition gait characteristics BACK-PROPAGATION

Locally Linear Back-propagation Based Contribution for Nonlinear Process Fault Diagnosis被引量：5: 《IEEE/CAA Journal of Automatica Sinica》2020年第3期764-775,共12页Jinchuan Qian Li Jiang Zhihuan Song; supported by the Key Project of National Natural Science Foundation of China(61933013);Ningbo 13th Five-year Marine Economic Innovation and Development Demonstration Project(NBH Y-2017-Z1)。; This paper proposes a novel locally linear backpropagation based contribution(LLBBC) for nonlinear process fault diagnosis. As a method based on the deep learning model of auto-encoder(AE), LLBBC can deal with the fau...; 关键词：Auto-encoder(AE) deep learning fault diagnosis LOCALLY LINEAR model nonlinear process reconstruction BASED contribution(RBC)

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