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A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting

Citations

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Cited by:

  1. Tingyu Yuan & Xi Zhang & Xuanjing Chen, 2025. "Machine Learning based Enterprise Financial Audit Framework and High Risk Identification," Papers 2507.06266, arXiv.org.
  2. Minsuk Song & Ryun-Han Koo & Jangsaeng Kim & Chang-Hyeon Han & Jiyong Yim & Jonghyun Ko & Sijung Yoo & Duk-hyun Choe & Sangwook Kim & Wonjun Shin & Daewoong Kwon, 2025. "Ferroelectric NAND for efficient hardware bayesian neural networks," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
  3. Ayhan Doğan & Murat Başeğmez & Cevdet Coşkun Aydın, 2025. "Assessment of the seismic vulnerability in an urban area with the integration of machine learning methods and GIS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(8), pages 9613-9652, May.
  4. Syed Hasan Jafar & Shakeb Akhtar & Hani El-Chaarani & Parvez Alam Khan & Ruaa Binsaddig, 2023. "Forecasting of NIFTY 50 Index Price by Using Backward Elimination with an LSTM Model," JRFM, MDPI, vol. 16(10), pages 1-23, September.
  5. Jiahao Chen & Xiaofei Li & Junjie Du, 2025. "Analysis of Frequent Trading Effects of Various Machine Learning Models," Computational Economics, Springer;Society for Computational Economics, vol. 65(3), pages 1707-1740, March.
  6. Adel S. Aldosary & Baqer Al-Ramadan & Abdulla Al Kafy & Hamad Ahmed Altuwaijri & Zullyadini A. Rahaman, 2025. "Forecasting climate risk and heat stress hazards in arid ecosystems: Machine learning and ensemble models for specific humidity prediction in Dammam, Saudi Arabia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(8), pages 9281-9309, May.
  7. Alnoor, Alhamzah & Abbas, Sammar & Sadaa, Abdullah Mohammed & Chew, XinYing & Bayram, Gül Erkol, 2025. "Navigating the power of blockchain strategy: Analysis of technology-organization-environment (TOE) framework and innovation resistance theory using PLS-SEM and ANN insights," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
  8. Caixia Wang, 2023. "Optimization of sports effect evaluation technology from random forest algorithm and elastic network algorithm," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-18, October.
  9. Renu Saraswat & Ajit Kumar, 2025. "Stock Price Forecasting With Integration of Sectoral Behavior: A Deep Auto‐Optimized Multimodal Framework," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(5), pages 1767-1784, August.
  10. Farwah Ali Syed & Kwo-Ting Fang & Adiqa Kausar Kiani & Muhammad Shoaib & Muhammad Asif Zahoor Raja, 2025. "Design of Neuro-Stochastic Bayesian Networks for Nonlinear Chaotic Differential Systems in Financial Mathematics," Computational Economics, Springer;Society for Computational Economics, vol. 65(1), pages 241-270, January.
  11. Clemens Tegetmeier & Arne Johannssen & Nataliya Chukhrova, 2024. "Artificial Intelligence Algorithms for Collaborative Book Recommender Systems," Annals of Data Science, Springer, vol. 11(5), pages 1705-1739, October.
  12. Dezheng Zhang & Jing Li & Yonghong Xie & Aziguli Wulamu, 2023. "Research on performance variations of classifiers with the influence of pre-processing methods for Chinese short text classification," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-22, October.
  13. Agnieszka Wawrzyniak & Andrzej Przybylak & Piotr Boniecki & Agnieszka Sujak & Maciej Zaborowicz, 2023. "Neural Modelling in the Study of the Relationship between Herd Structure, Amount of Manure and Slurry Produced, and Location of Herds in Poland," Agriculture, MDPI, vol. 13(7), pages 1-13, July.
  14. Kun Yang & Nikhil Krishnan & Sanjeev R. Kulkarni, 2025. "Financial Data Analysis with Robust Federated Logistic Regression," Papers 2504.20250, arXiv.org.
  15. Saima Akhtar & Sulman Shahzad & Asad Zaheer & Hafiz Sami Ullah & Heybet Kilic & Radomir Gono & Michał Jasiński & Zbigniew Leonowicz, 2023. "Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead," Energies, MDPI, vol. 16(10), pages 1-29, May.
  16. Murat Tasci & Hidir Duzkaya, 2025. "Estimation of Working Error of Electricity Meter Using Artificial Neural Network (ANN)," Energies, MDPI, vol. 18(5), pages 1-16, March.
  17. Saeed Alqadhi & Hoang Thi Hang & Javed Mallick & Abdullah Faiz Saeed Al Asmari, 2024. "Evaluating landslide susceptibility and landscape changes due to road expansion using optimized machine learning," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(13), pages 11713-11741, October.
  18. Boyuan Wu & Jia Luo, 2025. "A Novel Improved Binary Optimization Algorithm and Its Application in FS Problems," Mathematics, MDPI, vol. 13(4), pages 1-39, February.
  19. You-Shyang Chen & Jieh-Ren Chang & Ying-Hsun Hung & Jia-Hsien Lai, 2023. "Oversampling Application of Identifying 3D Selective Laser Sintering Yield by Hybrid Mathematical Classification Models," Mathematics, MDPI, vol. 11(14), pages 1-30, July.
  20. Xuecheng He & Jujie Wang, 2024. "A Hybrid Forecasting System Based on Comprehensive Feature Selection and Intelligent Optimization for Stock Price Index Forecasting," Mathematics, MDPI, vol. 12(23), pages 1-27, November.
  21. Chin Soon Ku & Jiale Xiong & Yen-Lin Chen & Shing Dhee Cheah & Hoong Cheng Soong & Lip Yee Por, 2023. "Improving Stock Market Predictions: An Equity Forecasting Scanner Using Long Short-Term Memory Method with Dynamic Indicators for Malaysia Stock Market," Mathematics, MDPI, vol. 11(11), pages 1-20, May.
  22. Qin, Fuli & Tong, Mingyu & Huang, Ying & Zhang, Yubo, 2024. "Modeling, prediction and analysis of natural gas consumption in China using a novel dynamic nonlinear multivariable grey delay model," Energy, Elsevier, vol. 305(C).
  23. Mirza, Nawazish & Rizvi, Syed Kumail Abbas & Naqvi, Bushra & Umar, Muhammad, 2024. "Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting," International Review of Financial Analysis, Elsevier, vol. 94(C).
  24. Peng, Yaohao & de Moraes Souza, João Gabriel, 2024. "Chaos, overfitting and equilibrium: To what extent can machine learning beat the financial market?," International Review of Financial Analysis, Elsevier, vol. 95(PB).
  25. Pulikandala Nithish Kumar & Nneka Umeorah & Alex Alochukwu, 2024. "Dynamic graph neural networks for enhanced volatility prediction in financial markets," Papers 2410.16858, arXiv.org.
  26. Thiago Conte & Roberto Oliveira, 2024. "Comparative Analysis between Intelligent Machine Committees and Hybrid Deep Learning with Genetic Algorithms in Energy Sector Forecasting: A Case Study on Electricity Price and Wind Speed in the Brazi," Energies, MDPI, vol. 17(4), pages 1-31, February.
  27. Jin, Ting & Liang, Feiyan & Dong, Xiaoqi & Cao, Xiaojuan, 2023. "Research on land resource management integrated with support vector machine —Based on the perspective of green innovation," Resources Policy, Elsevier, vol. 86(PB).
  28. Mokhtar Jlidi & Oscar Barambones & Faiçal Hamidi & Mohamed Aoun, 2024. "ANN for Temperature and Irradiation Prediction and Maximum Power Point Tracking Using MRP-SMC," Energies, MDPI, vol. 17(12), pages 1-21, June.
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