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 last year
Alternatives and similar repositories for machine-learning
Users that are interested in machine-learning are comparing it to the libraries listed below
Sorting:
- 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 …☆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☆10Updated 3 years ago
- Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.☆11Updated 3 years ago
- ☆31Updated 2 years ago
- Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters☆11Updated 2 years ago
- Air pollution prediction based on improved Informer model: a case study applied to the Yan'an city of China☆14Updated last year
- Implementation of a regression capsule network for use in li-ion battery RUL☆10Updated 2 years ago
- This project is for paper " PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-ion Battery …☆10Updated last year
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆11Updated 6 months 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
- An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It c…☆13Updated 9 months ago
- 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☆28Updated 3 years ago
- 风力发电非常环保,且风能蕴量巨大,因此日益受到世界各国的重视。但是对于实际采集 到的测风数据及功率数据都存在各种各样的问题,需要有准确的实测数据来分析风电特征及发电规律 而且从风场收集到的数据中通常包含异常数据点,造成计算机进行数据筛选和排序的速度比较慢,因此 需要可靠有…☆29Updated 4 years ago
- The relevant codes and more comparison results of "Physics-informed machine learning for tool wear monitoring".☆16Updated 3 years ago
- Pytorch implementation of various traffic prediction modules(FC-LSTM, GRU, GCN, Diffusion Conv, Temporal Attention, etc.)☆11Updated last year
- 此存储库中存放的是PHM2010铣刀磨损数据相关算法☆20Updated 8 months ago
- 数控加工单元数字孪生☆11Updated 4 years ago
- 基于VMD-Attention-LSTM的时间序列 预测模型(代码仅使用了一个较小数据集的训练及预测,内含使用使用逻辑,适合初学者观看,模型结构是可行的,有能力的请尝试使用更大的数据集训练)☆63Updated 2 years ago
- MFTCN: A Multi-Frequency Temporal Convolutional Network for Short-Term Temperature Prediction☆16Updated 4 months ago
- 由于CSDN博客里面不能直接上代码链接,涉嫌营销推广,因此建一个github仓库用于整理这些代码链接☆153Updated 2 years ago
- FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断☆29Updated 2 years ago
- Predict remaining useful life of a machine from it's historical data using CNN and LSTM☆31Updated 6 years ago
- CEEMDAN-VMD-TCN-GRU&RF model☆13Updated last year
- An Informer-LSTM model for State-of-Charge Estimation of Lithium-Ion Batteries☆120Updated 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
- 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
- 用CGAN训练时频域特征生成特征样本,数据集非图片数据集,用到了dataset自定义的数据集。☆12Updated 3 years ago
- 基于 LSTM 循环神经网络的电力系统负荷预测分析。建立 CART 回归树以及 LSTM 模型对该地区未来 10 天间隔 15 分钟负荷以及未来 3 个月负荷最大最小值进行预测。将行业数据分为大工业用电最大值、大工业用电最小 值;非普工业最大值、非普工业最小值;普通工业最大…☆38Updated 2 years ago
- 使用多种算法(线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM)进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vecto…☆173Updated 5 years ago
- ☆18Updated 5 years ago