Vol. 22 (2022): 2022 International Conference on Mathematical Modeling and Machine Learning (MMML 2022)

November 26-27, 2022 | Sydney, Australia

Editors: Genevieve Clare, Shuai Wang

ISBN: 978-1-62437-568-2

Published: 07-12-2022

Preface

Preface: 2022 International Conference on Mathematical Modeling and Machine Learning (MMML 2022)

Genevieve Clare, Shuai Wang

I

Articles

Research on Industrial Clusters and Regional Economic Impact in Underdeveloped Regions Based on ANN-MLP algorithm

Yi Song, Ye Ye, Yifei Wang

1-7
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Short-Term Stock Price Prediction Algorithm Construction Based on Integrated Learning of SVR and RF with Bagging

Yiqing Liu, Ayiken Ayitelieke, Jiayi Yu

8-15
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A Forward-Looking Study of ESG System Development from The Perspective of Economic and Commercial Theory

Mingming Feng, Jialu Li, Lian Xue, Guanjun Xiao, Liqing Huang, Chirui Pan, Zian Shao, Minxing Wang

16-27
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Research on the Influence of Regional Industrial Cluster and Regional Economy Based on ANN-RBF Algorithm - Take Shanghai, China as an example

Jun Ying, Zixuan Zhang, Jiafu Chang

28-38
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Research and Analysis of the Synergy Degree of Regional Economy and Regional Labor Force Based on AHP-EWM Coupling Perspective

Hongwei Fan, Yizheng Jiang, Jiahao Mai

39-48
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Deployment Optimization Strategies for Electric Vehicle Charging Stations

Rongkun Rao, Yuanfei Shi, Xiaodong Wang

49-61
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The Analysis of Incomplete Business Data

Longao Weng, Rongxuan Wang

62-70
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Comparative Analysis of Incomplete Business Data Clustering

Rongxuan Wang, Longao Weng

71-83
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Analysis of Obstacles in Marketing of Small and Medium-sized New Energy Enterprises Based on Fuzzy-DEMATEL Model

Ziyi He, Chen Yang, Mengmeng Chen

84-91
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A modified LSTM neural network model for stock price prediction based on auxiliary information and model average

Xiangyao Liu

92-100
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Analysis on The Influence Mechanism of Corporate Stock Price Based on Lasso RBF Neural Network

Chenyi Jiang, Peixue Xing, Xiangtian Shi

101-108
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Research on component analysis and identification of ancient glass products based on cluster analysis

Hengyi Zhang, Hongchen Guo, Hao Zhang

109-116
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Research on performance control of intercalated meltblown nonwovens based on neural network and grey relational analysis

Guoqiang Wang, Yingtao Tao, Heng Sun

117-124
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Analysis and identification of ancient glass components based on statistical methods

Jiajun Yan, Ling Zhang, Wei Li

125-130
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Research on High-frequency stock price prediction based on Chebyshev-Stacking and Weighted LSTM neural network [1]

Yiwen Wang, Yida Zhang, Zixuan Pan

131-141
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Component Identification and Prediction of Ancient Glass Products Based on Decision Tree Model and SVM Model

Jin Chen, Ruoyi Jia, Yaxin Yan

142-149
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A study on the classification of ancient glassware based on unsupervised learning

Renjie Wu

150-158
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K-means++ clustering-based composition analysis and identification model for glass products

Zhuoyuan Li, Beier Kang, Ruijie Zhang

159-166
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Azimuth-only passive positioning technology of UAV based on triangulation and iteration

Lifan Jiang, Boyi Huang, Zijia Li, Guofeng Sun

167-173
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Composition analysis and identification of glass products based on Pearson correlation analysis

Zhijin Cai, Zhonghan Zheng, Xin Jiang

174-186
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Optimized forest carbon sequestration&Better homeland

Jingyu Xia, Yibo Wei, Haitian Xu

187-192
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Ancient glass classification based on data mining methods

Tianhao Cao, Yuying Song, Jiayao Han, Yong Liu

193-200
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Study and Identification of Ancient Glass Composition Based on Regression Equation and Statistical Analysis

Pu Zhang

201-208
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Study on C4 olefin production by ethanol coupling based on multiple regression model

Yifei Xue, Weijie Pan, Yang Wei

209-216
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Development of a Carbon Financial Performance Assessment Model for the Power Generation Industry

Xiaoyu Zhao, Siyan Wu, Rui Zhao

217-226
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Study on properties and composition of ancient glass based on PCA and gradient lifting tree model

Hengtian Zhao, Junjia Du, Yayue Xu, Yujie Li, Yingai Jin

227-233
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Comparative study on chemical composition of ancient glass based on machine learning and deep learning

Dan Bai

234-240
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Analysis of each components of glass samples based on the Spearman correlation coefficient model

Xin Zheng, Yusi Feng, Hongkai Chen

241-245
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Research on glass classification prediction model based on machine learning

Xuehan Peng, Xinyan Tong, Xinyi Hu

246-253
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A study on the classification of the composition of ancient glassware based on statistical law analysis

Yuexin Pang

254-258
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A study of the composition of ancient glassware based on focal logistic regression models

Hongsheng Wang, Guihuang Lin, Zanjia Tong

259-264
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A study of ancient glass classification problem based on multiple logistic regression

Jingping Zuo, Hangxin Gan, Huixin Li

265-269
- PDF
Research on sales strategy of electric vehicle target customers based on machine learning algorithm

Zhichong Li

270-278
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Classification and identification of glass products based on K-means clustering analysis and Fisher's linear discriminant method

Jiahuan Chen, Yongan Li

279-286
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The solution of inverse matrix by using unary polynomial ring theory

Jie Zheng

287-292
- PDF
A study on the classification of ancient glassware based on K-means clustering algorithm

Yiming Liu, Chenxu Li

293-298
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Classification and identification of glass artifacts based on fuzzy clustering and binary logit regression analysis

Tong Zhang, Mingyu Cui, Nina He

299-306
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Composition analysis and identification of ancient glass objects based on Random Forest

Tianyue Jiang, Yongjia Song, Yuhui Yin

307-316
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Analysis and identification of the composition of ancient glass products based on regression models

Zeyao Li, Yanlin Zeng, Weiting Zhang

317-323
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Glass classification and identification based on systematic clustering and BP neural network algorithm

Ruoxin Lu, Luyao Wang, Hanbo Wang

324-332
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Component analysis and identification of glass artifacts based on logistic regression and K-means clustering

Jiangbiao Xiao, Junjie Kong, Siwei Leng

333-339
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Identification model of surface composition of glass relics based on K-means clustering and boosting learning strategy

Hanyun Yin

340-346
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Research on diabetes Prediction and Intelligent Diagnosis System Based on Machine Learning

Huang Lin, Tengyi Wang

347-355
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Composition Analysis and Identification of Ancient Glass Products Based on OLS

Shengkai Hu, Youquan Xiong

356-360
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Research on Influencing Factors of Regional Taxation Based on ANN-RBF Algorithm

Xiangpeng Huang

361-369
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Research and analysis of intercalated meltblown nonwovens based on machine learning

Jingwen Liang, Xiner Huang, Huibing Wu

370-379
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Analysis and identification of ancient glass components based on qualitative-quantitative data mining

Jiaqi Xu, Yifeng Xu, Yuan Wan

380-386
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Research on Financial Risk Path Identification of Small and Medium-sized Energy Enterprises Based on ISM-MICMAC Model

Chunlei Ji

387-395
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Glass classification and recognition based on genetic simulated annealing algorithm and decision tree algorithm

Zhijie Sun, Dayu Guan, Zhiliang Zu, Jing Wang, Hengchao Wei, Shuo Chen

396-403
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Analytical identification model of ancient glass based on density clustering and PSO-SVM

Aosen Sha

404-410
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Vol. 22 (2022): 2022 International Conference on Mathematical Modeling and Machine Learning (MMML 2022)

Preface

Articles

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