Stock price prediction using hybrid soft computing models incorporating parameter tuning and input variable selection

Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction

(2016) Mustafa Göçken et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting electricity load by a novel recurrent extreme learning machines approach

(2016) Ömer Faruk Ertugrul   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Hybrid nonlinear adaptive scheme for stock market prediction using feedback FLANN and factor analysis

(2016) C.M. Anish et al.   Journal of the Korean Statistical Society

A novel algorithm with differential evolution and coral reef optimization for extreme learning machine training

(2015) Zhiyong Yang et al.   Cognitive Neurodynamics

A hybrid functional link dynamic neural network and evolutionary unscented Kalman filter for short-term electricity price forecasting

(2015) Sujit Kumar Dash et al.   NEURAL COMPUTING & APPLICATIONS

Forecasting stock returns based on information transmission across global markets using support vector machines

(2015) M. Thenmozhi et al.   NEURAL COMPUTING & APPLICATIONS

Application of artificial neural network models and principal component analysis method in predicting stock prices on Tehran Stock Exchange

(2015) Javad Zahedi et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Prediction of stock price movement based on daily high prices

(2015) Marija Gorenc Novak et al.   QUANTITATIVE FINANCE

Stock price prediction based on a complex interrelation network of economic factors

(2013) Kanghee Park et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images

(2013) Yakoub Bazi et al.   IEEE Geoscience and Remote Sensing Letters

Feature Selection With Harmony Search

(2012) Ren Diao et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Incorporating feature selection method into support vector regression for stock index forecasting

(2012) Wensheng Dai et al.   NEURAL COMPUTING & APPLICATIONS

Hybridizing nonlinear independent component analysis and support vector regression with particle swarm optimization for stock index forecasting

(2012) Chi-Jie Lu   NEURAL COMPUTING & APPLICATIONS

Using artificial neural network models in stock market index prediction

(2011) Erkam Guresen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm

(2010) Tsung-Jung Hsieh et al.   APPLIED SOFT COMPUTING

Performance enhancement of extreme learning machine for multi-category sparse data classification problems

(2010) S. Suresh et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Optimal Design of Water Distribution Networks Using Parameter-Setting-Free Harmony Search for Two Major Parameters

(2010) Zong Woo Geem et al.   JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT

Constructive hidden nodes selection of extreme learning machine for regression

(2010) Yuan Lan et al.   NEUROCOMPUTING