Search Results - subject:"NETWORKS"

Convolutional neural networks: key components and architectures

Fischer, Manfred M. - 2025

Convolutional Neural Networks (CNNs) are a specialized class of deep neural networks tailored for processing high …

Persistent link: https://www.econbiz.de/10015193130

Estimating parameters of structural models using neural networks

Wei, Yanhao; Jiang, Zhenling - In: Marketing science 44 (2025) 1, pp. 102-128

Persistent link: https://www.econbiz.de/10015197209

Heterogeneity, climate change, and crop yield distributions : solvency implications for publicly subsidized crop insurance programs

Schuurman, Daniel; Ker, Alan P. - In: American journal of agricultural economics 107 (2025) 1, pp. 248-268

Persistent link: https://www.econbiz.de/10015166748

Importance sampling for option pricing with feedforward neural networks

Arandjelović, Aleksandar; Rheinländer, Thorsten; … - In: Finance and stochastics 29 (2025) 1, pp. 97-141

Persistent link: https://www.econbiz.de/10015394776

Predicting bank distress in Europe : using machine learning and a novel definition of distress

Malikkidou, Despo; Strohbach, Wolfgang - 2025

This paper develops an early warning system for predicting distress for large European banks. Using a novel definition of distress derived from banks' headroom above regulatory requirements, we investigate the performance of three machine learning techniques against the traditional logistic...

Persistent link: https://www.econbiz.de/10015185208

Robust portfolio selection under model ambiguity using deep learning

Miri, Sadegh; Salavati, Erfan; Shamsi, Mostafa - 2025

artificial neural networks (ANNs). Our approach effectively handles both the randomness inherent in asset prices and the …

Persistent link: https://www.econbiz.de/10015338300

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

Solving economic models with neural networks without backpropagation

Pascal, Julien - 2025

Persistent link: https://www.econbiz.de/10015357920

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

The energy potential of residual biomass gasification integrated with internal combustion engine in Córdoba, Colombia using artificial neural network techniques

Rhenals-Julio, Jesús D.; Torres, Cristina Cogollo; … - In: International Journal of Energy Economics and Policy : IJEEP 15 (2025) 1, pp. 274-280

Persistent link: https://www.econbiz.de/10015339849