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Predict coordinated development degree of county eco-environment system using GA-SVM : a case study of Guanzhong urban agglomeration

Zhao, Jing; Jin, Zhen - In: Journal of global information management : an official … 26 (2018) 3, pp. 1-10

Persistent link: https://www.econbiz.de/10011926083

A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning

Bansal, Malti; Goyal, Apoorva; Choudhary, Apoorva - In: Decision analytics journal 3 (2022), pp. 1-21

Machine learning (ML) is a new-age thriving technology, which facilitates computers to read and interpret from the previously present data automatically. It makes use of multiple algorithms to build models, mathematical in nature, and then makes predictions for the new data using the past data...

Persistent link: https://www.econbiz.de/10013339256

Monthly crude oil spot price forecasting using variational mode decomposition

Li, Jinchao; Zhu, Shaowen; Wu, Qianqian - In: Energy economics 83 (2019), pp. 240-253

Persistent link: https://www.econbiz.de/10012175324

BANKRUPTCY PREDICTION BY USING SUPPORT VECTOR MACHINES AND GENETIC ALGORITHMS

Mahdi, Salehi; Neda, Rostami - In: Studies in Business and Economics 8 (2013) 1, pp. 104-114

ratios on accuracy of bankruptcy prediction. In according to some limitations in traditional statistical models, we used two …. Besides, they can decreases accuracy of prediction and may wrong introduce results of the research. Moreover, Support Vector … accuracy of prediction and reduce bankruptcy risk and its heavy cost will be decreased. This research focuses on identifying …

Persistent link: https://www.econbiz.de/10010639278

Missing Value Imputation Using ANN Optimized by Genetic Algorithm

Mishra, Anjana; Naik, Bighnaraj; Srichandan, Suresh Kumar - In: International Journal of Applied Industrial Engineering … 5 (2018) 2, pp. 41-57

Missing value arises in almost all serious statistical analyses and creates numerous problems in processing data in databases. In real world applications, information may be missing due to instrumental errors, optional fields and non-response to some questions in surveys, data entry errors, etc....

Persistent link: https://www.econbiz.de/10012042879

A Rule Based Classification for Vegetable Production Using Rough Set and Genetic Algorithm

Rathi, R.; Acharjya, Debi Prasanna - In: International Journal of Fuzzy System Applications (IJFSA) 7 (2018) 1, pp. 74-100

This article describes how agriculture is the main occupation of India, and how the economy depends on agricultural production. Most of the land in India is dedicated to agriculture and people depend on the production of agricultural products. Therefore, forecasting the accuracy of future events...

Persistent link: https://www.econbiz.de/10012044848

Analysis of Turkish deposit banking sector with market basket analysis and genetic algorithm

Özçalici, Mehmet; Akkaya, Onur - In: Journal of economic cooperation & development 44 (2023) 4, pp. 111-138

Persistent link: https://www.econbiz.de/10015206189

A computer application for a bus assembly line using genetic algorithms

Palencia, Alberto E. Ramírez; Delgadillo, Gonzalo E. Mejía - In: International journal of production economics 140 (2012) 1, pp. 431-438

Persistent link: https://www.econbiz.de/10009655469

Development of a stochastic optimisation tool for solving the multiple container packing problems

Thapatsuwan, Peeraya; Pongcharoen, Pupong; Hicks, Chris; … - In: International journal of production economics 140 (2012) 2, pp. 737-748

Persistent link: https://www.econbiz.de/10009682543

A new VRPPD model and a hybrid heuristic solution approach for e-tailing

Yanik, Seda; Bozkaya, Burcin; De Kervenoael, Ronan - In: European journal of operational research : EJOR 236 (2014) 3, pp. 879-890

Persistent link: https://www.econbiz.de/10010367162