The main Purpose of this paper is to propose of using two modern Artificial intelligence technique in neural network training. Stock predication is selected as ...
Results presented in this paper show the potential of both algorithms applications for the decision making in the stock markets, but DE gives better ...
This paper presents the comparison of two metaheuristic approaches: Differential Evolution (DE) and Particle Swarm Optimization (PSO) in the training of ...
This research uses a combination of the SVAR model and the non-linear ARDL (NARDL) to investigate the long-term and short-term asymmetric effect of oil price ...
Mar 2, 2019 · The proposed model is based on the study of historical data, technical indicators and the application of Neural Networks trained with DE and PSO ...
Jul 30, 2016 · The simulation results presented in this paper show the potential of both two algorithms in solving the problems of traditional training ...
Abstract: This paper presents the comparison of two metaheuristic approaches: Differential Evolution (DE) and Particle Swarm Optimization (PSO) in the ...
Results presented in this paper show the potential of both algorithms applications for the decision making in the stock markets, hut DE gives better accuracy ...
Evaluation of Differential Evolution and Particle Swarm Optimization Algorithms at Training of Neural Network for Prediction by Mustafa Abdelsalam,
Missing: Stock | Show results with:Stock
Evaluation of Differential Evolution and Particle Swarm Optimization Algorithms at Training of Neural Network for Stock Prediction · H. Abdul-KaderM. A. Salam.