Search Results - subject:"Deep Neural Networks"

Measuring the default risk of small business loans : improved credit risk prediction using deep learning

Dendramis, Yiannis; Tzavalis, Elias; Cheimarioti, Aikaterini - In: Journal of forecasting 44 (2025) 7, pp. 2277-2297

Persistent link: https://www.econbiz.de/10015464796

Sequential solution for DSGE models with deep neural networks

Ferrari, Massimo Minesso; Frenzel, Carla - 2026

This paper develops a sequential deep learning algorithm for solving dynamic stochastic general equilibrium (DSGE) models. The algorithm trains a deep neural network to approximate the model's policy functions across four progressive phases: steady-state anchoring, exploration around the steady...

Persistent link: https://www.econbiz.de/10015650845

Dynamically forecasting airline departure delay probability distributions for individual flights using supervised learning

Beltman, Maarten; Ribeiro, Marta; Wilde, Jasper de; … - In: Journal of air transport management : a new … 126 (2025), pp. 1-21

Persistent link: https://www.econbiz.de/10015442357

Optimized deep neural network architectures for energy consumption and PV production forecasting

Hosseini, Eghbal; Saeedpour, Barzan; Banaei, Mohsen; … - In: Energy strategy reviews 59 (2025), pp. 1-19

energy management and sustainability. Deep Neural Networks (DNNs) are effective tools for learning complex patterns in such …

Persistent link: https://www.econbiz.de/10015448996

Enhancing stock market predictions for classifying unlabelled celebrities' twitter data

Baljinder Singh; Kaur, Mandeep; Gurbinder Singh Brar; … - In: Journal of open innovation : technology, market, and … 11 (2025) 3, pp. 1-16

This work introduces a novel method for sentiment analysis in the stock market by combining Deep Neural Networks (DNN … forecast stock price movements and make wise investment choices. With the help of Deep Neural Networks, which are specially …

Persistent link: https://www.econbiz.de/10015468119

Neural combinatorial optimization : a tutorial

Angioni, Davide; Archetti, Claudia; Speranza, Maria Grazia - In: Computers & operations research : an international journal 182 (2025), pp. 1-23

Persistent link: https://www.econbiz.de/10015433979

Deep neural network model enhanced with data preparation for the directional predictability of multi-stock returns

Samak Boonpan; Weerachai Sarakorn - In: Journal of open innovation : technology, market, and … 11 (2025) 1, pp. 1-15

This study presents novel deep neural networks (DNNs) that integrate a thorough data preparation process, including … predictions. This study presents valuable insights into applying deep neural networks (DNNs) for financial forecasting. It is an …

Persistent link: https://www.econbiz.de/10015358507

Short-term multivariate airworthiness forecasting based on decomposition and deep prediction models

Tatli, Ali; Filik, Tansu; Bocu, Erdogan; Karakoc, … - In: Journal of forecasting 44 (2025) 1, pp. 41-58

Persistent link: https://www.econbiz.de/10015373951

Deep learning in the sequence space

Azinovic-Yang, Marlon; Žemlička, Jan - 2025

Persistent link: https://www.econbiz.de/10015552804

A clinical named entity recognition model using pretrained word embedding and deep neural networks

Dash, Adyasha; Darshana, Subhashree; Yadav, Devendra K.; … - 2024

Clinical Named Entity Recognition (NER) within Electronic Medical Records (EMRs) has seen substantial research attention. Since much clinical information resides in unstructured text, NER technology is pivotal in extracting vital patient data from such sources. The ubiquity of EMRs has fueled...

Persistent link: https://www.econbiz.de/10015101649