akxy1147 / machine-learningLinks
本系统采用前后端分离的设计架构,通过使用SpringBoot框架实现后端服务,在前端使用Vue.js技术实现交互界面。系统主要功能包括:队员信息管理、参赛队伍管理、比赛成绩管理、队员训练数据分析和预测等。在数据分析方面,系统运用了机器学习算法对队员做题数据进行建模和预测,以提供更加精准的成绩预测和意见建议。本系统的设计与实现使得高校程序设计竞赛的管理和监控变得更加智能化和高效化,可以帮助管理员更好地了解比赛情况和参赛队伍的实力,同时也为参赛者提供 了更加公正的竞赛环境。
☆14Updated 2 years ago
Alternatives and similar repositories for machine-learning
Users that are interested in machine-learning are comparing it to the libraries listed below
Sorting:
- Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.☆11Updated 3 years ago
- 基于深度学习的风电机组机械故障智能识别方法研究☆10Updated last year
- 本科毕业设计,液态金属性能预测和训练平台,用Django作为后端,Echarts呈现图表的可视化数据大屏☆12Updated 3 years ago
- A open source dataset about milling to monitoring tool wear status☆13Updated last year
- 1) How to Prepare Time Series Data for CNNs and LSTMs?? 2) How to Develop CNNs for Time Series Forecasting?? 3) How to Develop LSTMs for …☆12Updated last year
- This project is for paper " PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-ion Battery …☆10Updated last year
- ☆31Updated 2 years ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆16Updated 3 years ago
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆19Updated 4 years ago
- Implementation of a regression capsule network for use in li-ion battery RUL☆10Updated 3 years ago
- Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters☆11Updated 2 years ago
- An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It c…☆15Updated last year
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆29Updated 3 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆59Updated 2 years ago
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆13Updated 9 months ago
- 基于LabVIEW,可由故障齿轮箱振动信号生成时域图、频谱图、倒频谱图和包络谱图☆16Updated 5 years ago
- ☆23Updated 4 years ago
- 此存储库中存放的是PHM2010铣刀磨损数据相关算法☆27Updated 11 months ago
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆119Updated last year
- RUL Prognostics Method Based on Real Time Updating of LSTM Parameters☆23Updated 7 years ago
- ☆46Updated 2 years ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆22Updated 8 months ago
- 基于深度学习的机械设备故障诊断方法研究☆48Updated 3 years ago
- For better estimation of aero-engine RUL, we concatenate 1-D CNN and LSTM in a parallel structure.☆15Updated 5 years ago
- Comparison of various transfer learning models with the hybridization of an FCNN for battery RUL prediction☆47Updated 2 years ago
- BG-CNN: A Hybrid Fault Diagnosis Method for Improved Fault Isolation. This repository presents the BG-CNN method, a novel approach that …☆11Updated last year
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆33Updated 6 years ago
- 一维卷积网络用于航空发动机剩余寿命预测☆35Updated 6 years ago