Comparative study of hybrid artificial neural network methods under stationary and nonstationary data in stock market

Author:

Dosdoğru Ayşe Tuğba1ORCID

Affiliation:

1. Engineering Faculty, Department of Industrial EngineeringAdana Science and Technology University Adana Turkey

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Business and International Management

Reference26 articles.

1. Abdual‐Salam M. E. Abdul‐Kader H. M. &Abdel‐Wahed W. F.(2010).Comparative study between differential evolution and particle swarm optimization algorithms in training of feed‐forward neural network for stock price prediction. In7th International Conference on Informatics and Systems 1–8.

2. Bayesian Regularization in a Neural Network Model to Estimate Lines of Code Using Function Points

3. User's guide to correlation coefficients

4. Application of Genetic Algorithm and Personal Informatics in Stock Market

5. A survey on optimization metaheuristics

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