Similar Search Results

Forecasting initial public offering pricing using Particle Swarm Optimization (PSO) algorithm and Support Vector Machine (SVM) in Iran

Heidari Gandoman, Shaho; Kiamehr, Navab; Hemetfar, Mahmood - In: Business and Economic Research : BER 7 (2017) 1, pp. 336-349

Persistent link: https://www.econbiz.de/10011684833

Analyzing destination country risk profiles in business study abroad programs : a neural network approach

Brattin, Rick L.; Sexton, Randall S.; Austin, Rebekah E.; … - In: Journal of international education in business : JIEB 17 (2024) 1, pp. 133-147

Persistent link: https://www.econbiz.de/10014474324

A neural feature extraction model for classification of firms and prediction of outsourcing success : advantage of using relational sources of information for new suppliers

Medhi, Pankaj Kumar; Mondal, Sandeep - In: International journal of production research 54 (2016) 19/20, pp. 6071-6081

Persistent link: https://www.econbiz.de/10011543743

Adaptive evolutionary neural networks for forecasting and trading without a data-snooping bias

Sermpinis, Georgios; Verousis, Thanos; Theofilatos, … - In: Journal of forecasting 35 (2016) 1, pp. 1-12

Persistent link: https://www.econbiz.de/10011417657

Predicting credit card delinquencies : an application of deep neural networks

Sun, Ting; Vasarhelyi, Miklos A. - In: Intelligent systems in accounting finance and … 25 (2018) 4, pp. 174-189

Persistent link: https://www.econbiz.de/10012035532

Predicting terrorism with machine learning : lessons from "predicting terrorism: a machine learning approach"

Basuchoudhary, Atin; Bang, James T. - In: Peace economics, peace science and public policy 24 (2018) 4, pp. 1-8

Persistent link: https://www.econbiz.de/10011981717

Exploring neural network models in understanding bilateral trade in APEC : a review of history and concepts

Quimba, Francis Mark A.; Barral, Mark Anthony A. - 2018

Machine Learning algorithms, such as the artificial neural networks, are acknowledged to outperform several econometric procedures in predictions. Machine learning becomes popular for doing operations that practically require more efficiency and accuracy, derived basically from the algorithm's...

Persistent link: https://www.econbiz.de/10011993791

Artificial intelligence modelling framework for financial automated advising in the copper market

Méndez Suárez, Mariano; García-Fernández, Francisco; … - In: Journal of open innovation : technology, market, and … 5 (2019) 4/81, pp. 1-13

Financial innovation by means of Fintech firms is one of the more disruptive business model innovations from the latest …

Persistent link: https://www.econbiz.de/10012125240

Design of an Artificial Neural Network battery for an optimal recognition of patterns in financial time series

Fioribello, Simone; Giribone, Pier Giuseppe - In: International journal of financial engineering 5 (2018) 4, pp. 1-17

Persistent link: https://www.econbiz.de/10012028806

Combining robust dynamic neural networks with traditional technical indicators for generating mechanic trading signals

Giribone, Pier Giuseppe; Ligato, Simone; Penone, Francesco - In: International journal of financial engineering 5 (2018) 4, pp. 1-44

Persistent link: https://www.econbiz.de/10012028821

1
2
3
4
5
6
7
8
9
10
Next
Last