Efficient stock price prediction using a Self Evolving Recurrent Neuro-Fuzzy Inference System optimized through a Modified Differential Harmony Search Technique

Author:

Dash RajashreeORCID,Dash PradiptaKishore

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference39 articles.

1. Differential evaluation learning of fuzzy wavelet neural networks for stock price prediction;Abiyev;Journal of Information and Computing Science,2012

2. Comparative study of stock market forecasting using different functional link artificial neural networks;Bebarta;International Journal of Data Analysis Techniques and Strategies,2012

3. Mining electricity prices in energy markets using a computationally efficient neural network;Bisoi,2011

4. An Adaptive network-based fuzzy inference system (ANFIS) for the prediction of stock market return: the case of the Istanbul stock exchange;Boyacioglu;Expert Systems with Applications,2010

5. Financial forecasting using ANFIS networks with quantum-behaved particle swarm optimization;Bagheri;Expert Systems with Applications,2014

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