Soft Computing in Economics and Finance

By L. Dymowa. 2011

62 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Discrete Mathematics and Combinatorics, Management Science and Operations Research, Economics & Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek

In Discrete Mathematics and Combinatorics

1. A. Ozbayoglu
2. Omer Berat Sezer
3. M. Ugur Gudelek

In Management Science and Operations Research

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu
4. Weiwei Jiang
5. Longbing Cao

In Economics & Operations Research

1. A. Ozbayoglu
2. M. Ugur Gudelek
3. Omer Berat Sezer

Citations in the corpus

• Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 (2019, methodology): “There were published books on stock market forecasting [2], trading system development [3], practical examples of forex and market forecasting applications [4] using ML models like Artificial Neural Networks (ANNs), Evolutionary Computations (ECs), Genetic Programming (GP) and Agent-based models [5]”
• Deep Learning for Financial Applications : A Survey (2020, background): “The publications in [8, 9, 10, 11] constitute some of the books that cover the implementations of soft computing models in finance.”