Sökresultat - "regression prediction"

Variational Regression With Uncertainty-Variance Consistency for Semi-Supervised Sequence Soft-Sensing in Chemical Fiber Industry

Wang, S., Yu, J., Shen, H., Zhang, Y., Li, Z.

Deep Learning-Based Regression Prediction of Relative Separation Distance of Rockets

Chang, Xiangwei, Wang, Tao, Sun, Leyuan, Hu, Peng

2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)

Prediction of Acid and Caustic Consumption in the CIP System of the Beverage Industry Based on Ensemble Learning

Xia, Guangwei, Fang, Zhiyuan, Wu, Bingrui

2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

Data Regression Prediction Based on PSO-CR-GWO Hybrid Optimized BP Neural Network

Wang, Miao, Xu, Xiaoguang, Xiao, Ping, Ding, Jiale, Wang, Qikai

2024 7th International Conference on Robotics, Control and Automation Engineering (RCAE)

Research on Prediction of Nonlinear Regression Problem Based on PSO-SVM

Hong, Yonglin, Song, Wei

2024 IEEE 2nd International Conference on Sensors, Electronics and Computer Engineering (ICSECE)

Analysis and Prediction of Sailboat Price Based on Improved Extreme Gradient Boosting

Jiang, Shengnan, Wang, Cong

2024 IEEE 12th International Conference on Information, Communication and Networks (ICICN)

Enhanced Multivariate Time Series Regression Prediction Using Temporal Convolution Networks

Zhong, Pingsi

2024 7th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)

User Portrait Construction of Diet Therapy Culture Based on Machine Learning

Dong, Jie, Fan, Siyu, Men, Rui

2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS)

Regression Prediction of Perceptual Integration Capabilities and N270 Component Using Enhanced Electroencephalography Network

Chen, Chao, Ma, Yiran, Wang, Changming

2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA)

Nonlinear Regression With Hierarchical Recurrent Neural Networks Under Missing Data

Sahin, S.O., Kozat, S.S.

Machine-Learning-Assisted Fast Determination of the Combustion Characteristics of Municipal Solid Waste

Qi, Ya-Ping^aff1, He, Pin-Jing^{aff1, aff2, aff3}, Lan, Dong-Ying^aff1, Lü, Fan^{aff1, aff2, aff3}, Zhang, Hua^{aff1, aff2, aff3}

PSO-BP Based Prediction Study for Nonlinear Regression Problems

Hong, Yonglin, Xue, Tianyu, Huang, Muyang

2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA)

Composition Identification and Analysis of Ancient Glass Artifacts Based on Statistical Methods and Machine Learning

Liu, Yan, Xie, Haifan, Jin, Aitong, Yang, Zicong, Tan, Jianyi, Chen, Liyun

2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)

Application of Stacking Model with Feature Weighting Method in Shale Gas Production Prediction

Hou, Yiting, Luo, Qun, Tan, Rui, Nie, Jie, Zhou, Yixin

2024 5th International Conference on Computer Engineering and Application (ICCEA)

Study of Total Transfer Capability Based on Deep Learning Theory

Huang, Yixiang, Chen, Jinfu, Cai, Defu, Wang, Erxi

2024 9th Asia Conference on Power and Electrical Engineering (ACPEE)

Prediction of ischemic stroke in elderly hypertensive patients using carotid plaque superb microvascular imaging characteristics: a lasso-logistic regression model

Jin, Xiuli^Aff1, Yang, Xiangxi^Aff1, Li, Fengjuan^{Aff1, IDs10396024015130_cor1}

Predictive Modeling in Employee Satisfaction: An Approach with RA-SSA-SVM-Based Machine Learning Optimization

Qiao, Liang

2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)

A Flight Arrival Time Prediction Method Based on Cluster Clustering-Based Modular With Deep Neural Network

Deng, W., Li, K., Zhao, H.

AI-Enabled Portable E‑Nose Regression Predicting Harmful Molecules in a Gas Mixture

Yang, Jilei^aff1, Hu, Xuefeng^aff1, Feng, Lihang^{aff4, aff2}, Liu, Zhiyuan^aff1, Murtazt, Adil^aff3, Qin, Weiwei^aff1, Zhou, Ming^aff1, Liu, Jiaming^aff1, Bi, Yali^aff1, Qian, Jingui^aff1, Zhang, Wei^aff5

Automated Pricing and Replenishment Decision for Vegetable Products Based on XGboost Prediction

Zhu, Tianshuai, Lin, Yuhuai

2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE)