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Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison

Horák, Jakub; Vrbka, Jaromir; Suler, Petr - In: Journal of Risk and Financial Management 13 (2020) 3, pp. 1-15

Bankruptcy prediction is always a topical issue. The activities of all business entities are directly or indirectly …

Persistent link: https://www.econbiz.de/10012611289

News-based supervised sentiment analysis for prediction of futures buying behaviour

Yadav, Ritu; Kumar, A. Vinay; Kumar, Ashwani - In: IIMB management review 31 (2019) 2, pp. 157-166

Persistent link: https://www.econbiz.de/10012213122

Modern prediction methods : new perspectives on a common problem

Putka, Dan J.; Beatty, Adam S.; Reeder, Matthew C. - In: Organizational research methods : ORM 21 (2018) 3, pp. 689-732

Persistent link: https://www.econbiz.de/10011880167

Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm

Bazrkar, Mohammad Javad; Hosseini, Soodeh - In: Computational economics 62 (2023) 1, pp. 165-186

Persistent link: https://www.econbiz.de/10014327292

China's missing pigs : correcting China's hog inventory data using a machine learning approach

Shao, Yongtong; Li, Minghao; Hayes, Dermot James; … - 2020

Persistent link: https://www.econbiz.de/10012387933

The impact of COVID-19 on unemployment rate : an intelligent based unemployment rate prediction in selected countries of Europe

Ahmad, Muneeb; Khan, Yousaf Ali; Jiang, Chonghui; … - In: International journal of finance & economics : IJFE 28 (2023) 1, pp. 528-543

Persistent link: https://www.econbiz.de/10014253227

An S-Transform and Support Vector Machine (SVM)-Based Online Method for Diagnosing Broken Strands in Transmission Lines

Jiang, Xingliang; Xia, Yunfeng; Hu, Jianlin; Zhang, Zhijin - In: Energies 4 (2011) 9, pp. 1278-1300

During their long-term outdoor field service, overhead transmission lines will be exposed to strikes by lightning, corrosion by chemical contaminants, ice-shedding, wind vibration of conductors, line galloping, external destructive forces and so on, which will generally cause a series of latent...

Persistent link: https://www.econbiz.de/10011030888

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

Support vector machines with evolutionary feature selection for default prediction

Härdle, Wolfgang Karl; Prastyo, Dedy Dwi; Hafner, Christian - 2012

Predicting default probabilities is at the core of credit risk management and is becoming more and more important for banks in order to measure their client's degree of risk, and for firms to operate successfully. The SVM with evolutionary feature selection is applied to the CreditReform...

Persistent link: https://www.econbiz.de/10010318756

Application of optimized machine learning techniques for prediction of occupational accidents

Sarkar, Sobhan; Vinay, Sammangi; Raj, Rahul; Maiti, J.; … - In: Computers & operations research : and their … 106 (2019), pp. 210-224

Persistent link: https://www.econbiz.de/10012014413