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Deep learning for solving dynamic economic models.

Maliar, Lilia; Maliar, Serguei; Winant, Pablo - In: Journal of monetary economics 122 (2021), pp. 76-101

Persistent link: https://www.econbiz.de/10013269349

Adaptive solution prediction for combinatorial optimization

Shen, Yunzhuang; Sun, Yuan; Li, Xiaodong; Eberhard, Andrew - In: European journal of operational research : EJOR 309 (2023) 3, pp. 1392-1408

Persistent link: https://www.econbiz.de/10014435020

Simultaneous sensitivity analysis of mixed-integer location-allocation models using machine learning tools : cancer hospitals' network design

Kordi, Afshin; Nemati, Arash - In: Operational research : an international journal 24 (2024) 2, pp. 1-32

Persistent link: https://www.econbiz.de/10015135104

Optimization algorithms and investment portfolio analytics with machine learning techniques under time-varying liquidity constraints

Al Janabi, Mazin A. M. - In: Journal of modelling in management 17 (2022) 3, pp. 864-895

Persistent link: https://www.econbiz.de/10013362663

Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm

Samadianfard, Saeed; Hashemi, Sajjad; Kargar, Katayoun; … - In: Energy reports 6 (2020), pp. 1147-1159

) with the Whale Optimization Algorithm (WOA) was used to build new method (MLP-WOA) with a limited set of data (2004 … at each target station was compared with the MLP optimized by the Genetic Algorithm (MLP-GA) and standalone MLP without … models. It was concluded that the WOA optimization algorithm could improve the prediction accuracy of the MLP model and may …

Persistent link: https://www.econbiz.de/10012221074

Application of predictive methods to financial data sets

Habibi, Reza - In: Financial internet quarterly 17 (2021) 1, pp. 50-61

Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play a critical role in analyzing financial data sets. In...

Persistent link: https://www.econbiz.de/10012588934

A modified Bayesian boosting algorithm with weight-guided optimal feature selection for sentiment analysis

Nayak, Smitha; Savita; Sharma, Yogesh Kumar - In: Decision analytics journal 8 (2023), pp. 1-13

study, we propose a modified Bayesian Boosting algorithm with weight-guided optimal feature selection for sentiment analysis … and utilizing an optimized boosting algorithm. The proposed algorithm leverages the strength of the Bayesian framework and …. The algorithm employs a modified Bayesian boosting algorithm to optimize the boosting process. It dynamically adjusts the …

Persistent link: https://www.econbiz.de/10014517151

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

Ensembled LSTM with walk forward optimization in algorithmic trading

Chojnacki, Karol; Ślepaczuk, Robert - 2023

Persistent link: https://www.econbiz.de/10014308890

A survey on AI-based scheduling models, optimization and prediction for hydropower generation : variants, challenges, and future directions

Villeneuve, Yoan; Séguin, Sara; Chehri, Abdellah - 2022

Persistent link: https://www.econbiz.de/10013502350