Support vector regression with modified firefly algorithm for stock price forecasting
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Support vector regression with modified firefly algorithm for stock price forecasting
Authors
Keywords
Stock price forecasting, Support vector regression, Firefly algorithm, Opposition-based learning, Chaotic
Journal
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-12-02
DOI
10.1007/s10489-018-1351-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A novel hybrid heuristic algorithm for a new uncertain mean-variance-skewness portfolio selection model with real constraints
- (2018) Wei Chen et al. APPLIED INTELLIGENCE
- A novel chaotic salp swarm algorithm for global optimization and feature selection
- (2018) Gehad Ismail Sayed et al. APPLIED INTELLIGENCE
- A hybrid multi-objective firefly algorithm for big data optimization
- (2018) Hui Wang et al. APPLIED SOFT COMPUTING
- Twin support vector machines: A survey
- (2018) Huajuan Huang et al. NEUROCOMPUTING
- An Adaptive SVR for High-Frequency Stock Price Forecasting
- (2018) Yanhui Guo et al. IEEE Access
- A hybrid FA–SA algorithm for fuzzy portfolio selection with transaction costs
- (2016) Wei Chen et al. ANNALS OF OPERATIONS RESEARCH
- Salient object detection using biogeography-based optimization to combine features
- (2016) Zhicheng Wang et al. APPLIED INTELLIGENCE
- Improved v -Support vector regression model based on variable selection and brain storm optimization for stock price forecasting
- (2016) Jianzhou Wang et al. APPLIED SOFT COMPUTING
- A chaos-based evolutionary algorithm for general nonlinear programming problems
- (2016) M.A. El-Shorbagy et al. CHAOS SOLITONS & FRACTALS
- Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market
- (2016) Mingyue Qiu et al. CHAOS SOLITONS & FRACTALS
- A Novel Hybrid Method of Parameters Tuning in Support Vector Regression for Reliability Prediction: Particle Swarm Optimization Combined With Analytical Selection
- (2016) Wei Zhao et al. IEEE TRANSACTIONS ON RELIABILITY
- Stock prediction using deep learning
- (2016) Ritika Singh et al. MULTIMEDIA TOOLS AND APPLICATIONS
- A sparse method for least squares twin support vector regression
- (2016) Huajuan Huang et al. NEUROCOMPUTING
- Firefly algorithm with adaptive control parameters
- (2016) Hui Wang et al. SOFT COMPUTING
- A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price
- (2015) Reza Hafezi et al. APPLIED SOFT COMPUTING
- Enhancing firefly algorithm using generalized opposition-based learning
- (2015) Shuhao Yu et al. COMPUTING
- A highly accurate firefly based algorithm for heart disease prediction
- (2015) Nguyen Cong Long et al. EXPERT SYSTEMS WITH APPLICATIONS
- Artificial bee colony algorithm for constrained possibilistic portfolio optimization problem
- (2015) Wei Chen PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter
- (2014) Ranjeeta Bisoi et al. APPLIED SOFT COMPUTING
- A hybrid Firefly-Genetic Algorithm for the capacitated facility location problem
- (2014) A. Rahmani et al. INFORMATION SCIENCES
- A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems
- (2013) Mariappan Kadarkarainadar Marichelvam et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting
- (2013) Tao Xiong et al. KNOWLEDGE-BASED SYSTEMS
- Glowworm Swarm Optimization for Dispatching System of Public Transit Vehicles
- (2013) Yongquan Zhou et al. NEURAL PROCESSING LETTERS
- A hybrid glowworm swarm optimization algorithm to solve constrained multimodal functions optimization
- (2013) Yongquan Zhou et al. OPTIMIZATION
- Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression
- (2013) Luca Ghelardoni et al. IEEE Transactions on Smart Grid
- A comprehensive review of firefly algorithms
- (2013) Iztok Fister et al. Swarm and Evolutionary Computation
- Support vector regression with chaos-based firefly algorithm for stock market price forecasting
- (2012) Ahmad Kazem et al. APPLIED SOFT COMPUTING
- Firefly algorithm with chaos
- (2012) A.H. Gandomi et al. Communications in Nonlinear Science and Numerical Simulation
- 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
- Application of type-2 neuro-fuzzy modeling in stock price prediction
- (2011) Chih-Feng Liu et al. APPLIED SOFT COMPUTING
- A hybrid stock selection model using genetic algorithms and support vector regression
- (2011) Chien-Feng Huang APPLIED SOFT COMPUTING
- Forecasting urban traffic flow by SVR with continuous ACO
- (2010) Wei-Chiang Hong et al. APPLIED MATHEMATICAL MODELLING
- Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait
- (2010) Mohamed M. Mostafa EXPERT SYSTEMS WITH APPLICATIONS
- Chaos-based support vector regressions for exchange rate forecasting
- (2010) Shian-Chang Huang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Housing price forecasting based on genetic algorithm and support vector machine
- (2010) Jirong Gu et al. EXPERT SYSTEMS WITH APPLICATIONS
- A multiple-kernel support vector regression approach for stock market price forecasting
- (2010) Chi-Yuan Yeh et al. EXPERT SYSTEMS WITH APPLICATIONS
- A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
- (2010) Arash Bahrammirzaee NEURAL COMPUTING & APPLICATIONS
- CIDE: Chaotically Initialized Differential Evolution
- (2009) Ahmet Bedri Ozer EXPERT SYSTEMS WITH APPLICATIONS
- GSA: A Gravitational Search Algorithm
- (2009) Esmat Rashedi et al. INFORMATION SCIENCES
- A neural-network-based nonlinear metamodeling approach to financial time series forecasting
- (2008) Lean Yu et al. APPLIED SOFT COMPUTING
- Chaos embedded particle swarm optimization algorithms
- (2008) Bilal Alatas et al. CHAOS SOLITONS & FRACTALS
- Combining wavelet-based feature extractions with relevance vector machines for stock index forecasting
- (2008) Shian-Chang Huang et al. EXPERT SYSTEMS
- Trend Time–Series Modeling and Forecasting With Neural Networks
- (2008) Min Qi et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Financial time series prediction using polynomial pipelined neural networks
- (2007) Abir Jaafar Hussain et al. EXPERT SYSTEMS WITH APPLICATIONS
- Particle swarm optimization for parameter determination and feature selection of support vector machines
- (2007) Shih-Wei Lin et al. EXPERT SYSTEMS WITH APPLICATIONS
- A type-2 fuzzy rule-based expert system model for stock price analysis
- (2007) M.H. Fazel Zarandi et al. EXPERT SYSTEMS WITH APPLICATIONS
- A TSK type fuzzy rule based system for stock price prediction
- (2006) Pei-Chann Chang et al. EXPERT SYSTEMS WITH APPLICATIONS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started