Citations (21)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (2)
Qifa Xu, Xingxuan Zhuo, Cuixia Jiang, Fang Sun & Xue Huang. (2021) Reverse restricted MIDAS model with application to US interest rate forecasts. Communications in Statistics - Simulation and Computation 50:2, pages 462-482.
Read now
Read now
Xiaojie Xu & Yun Zhang. Platinum and palladium price forecasting through neural networks. Communications in Statistics - Simulation and Computation 0:0, pages 1-15.
Read now
Read now
Articles from other publishers (19)
Rutuja Mahajan, Pranjal Patil, Diptee Chikmurge & Sunita Barve. (2023) Forecasting Gold Price using Ensemble based Machine Learning Approach. Forecasting Gold Price using Ensemble based Machine Learning Approach.
Farah Mansour & Wael Etaiwi. (2023) EGPBD: An Event-based Gold Price Benchmark Dataset. EGPBD: An Event-based Gold Price Benchmark Dataset.
Ming Li & Ying Li. (2023) Research on crude oil price forecasting based on computational intelligence. Data Science in Finance and Economics 3:3, pages 251-266.
Crossref
Crossref
Nandipati Bhagya Lakshmi & Nagaraju Devarakonda. 2023. Computational Intelligence and Data Analytics. Computational Intelligence and Data Analytics
405
419
.
M. Shyamala Devi, J. Arun Pandian, Sai Srinivas Vara Prasad Korlam & Sripathi Manideep Reddy. (2022) Two Layered Deep Long Short-Term Memory Network based Gold Rate Divination. Two Layered Deep Long Short-Term Memory Network based Gold Rate Divination.
Ivan José Reis Filho, Ricardo Marcondes Marcacini & Solange Oliveira Rezende. (2022) On the enrichment of time series with textual data for forecasting agricultural commodity prices. MethodsX 9, pages 101758.
Crossref
Crossref
Yulin Zhu. (2021) Long Short-Term Memory Neural Intelligent Network Forecast Model Based on Improved Particle Swarm Optimization Algorithm. Long Short-Term Memory Neural Intelligent Network Forecast Model Based on Improved Particle Swarm Optimization Algorithm.
Kalyan Das & Satyabrata Das. (2021) Energy-Efficient Cloud-Integrated Sensor Network Model Based on Data Forecasting Through ARIMA. International Journal of e-Collaboration 18:1, pages 1-17.
Crossref
Crossref
Qinghua Gu, Yinxin Chang, Naixue Xiong & Lu Chen. (2021) Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees. Applied Soft Computing 109, pages 107472.
Crossref
Crossref
Yutian Zhou, Yu-an Tan, Quanxin Zhang, Xiaohui Kuang, Yahong Han & Jingjing Hu. (2020) An Evolutionary-Based Black-Box Attack to Deep Neural Network Classifiers. Mobile Networks and Applications 26:4, pages 1616-1629.
Crossref
Crossref
Tawum Juvert Mbah, Haiwang Ye, Jianhua Zhang & Mei Long. (2021) Using LSTM and ARIMA to Simulate and Predict Limestone Price Variations. Mining, Metallurgy & Exploration 38:2, pages 913-926.
Crossref
Crossref
Xiaowen Wang, Ying Ma & Wen Li. (2021) The Prediction of Gold Futures Prices at the Shanghai Futures Exchange Based on the MEEMD-CS-Elman Model. SAGE Open 11:1, pages 215824402110018.
Crossref
Crossref
Vu Thanh Nguyen, Dinh Tuan Le, Phu Phuoc Huy, Nguyen Thi Hong Thao, Dao Minh Chau, Nguyen Thai Nho, Mai Viet Tiep, Vu Thanh Hien & Phan Trung Hieu. 2021. Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications
66
85
.
Lei Chai, Hongfeng Xu, Zhiming Luo & Shaozi Li. (2020) A multi-source heterogeneous data analytic method for future price fluctuation prediction. Neurocomputing 418, pages 11-20.
Crossref
Crossref
Suprianto, Muhammad Fadlan, Muhammad, Yusni Amaliah & Mussallimah. (2020) Retrieval Information Using Generalized Vector Space Models And Sentiment Analysis Using Naïve Bayes Classifier For Evaluation Of Lecturers By Students. Retrieval Information Using Generalized Vector Space Models And Sentiment Analysis Using Naïve Bayes Classifier For Evaluation Of Lecturers By Students.
Abdulsaboor Mahmoodzada, Suhrab Ahadi & Abdul Basir Mahmoodzada. (2020) Comparison performance of Artificial Neural Networks and Fuzzy Inference systems in forecasting precious metals price Case Study: Gold, Silver, Platinum and Palladium. Academic Perspective Procedia 3:1, pages 749-762.
Crossref
Crossref
Amir Mahmud Husein & Allwin M Simarmata. (2019) Drug Demand Prediction Model Using Adaptive Neuro Fuzzy Inference System (ANFIS). SinkrOn 4:1, pages 136.
Crossref
Crossref
Feng Jiang, Jiaqi He & Zhigang Zeng. (2019) Pigeon-inspired optimization and extreme learning machine via wavelet packet analysis for predicting bulk commodity futures prices. Science China Information Sciences 62:7.
Crossref
Crossref
Binghui Wu & Tingting Duan. (2017) The fractal feature and price trend in the gold future market at the Shanghai Futures Exchange (SFE). Physica A: Statistical Mechanics and its Applications 474, pages 99-106.
Crossref
Crossref