Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Knowledge-Based Systems

• Publication date

  2010-12-01

• Fields of study

  Business, Computer Science

• Identifiers
  DOI 10.1016/j.knosys.2010.05.004
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Adapted Neuro-Fuzzy Inference System on indirect approach TSK fuzzy rule base for stock market analysis

  2010cited by this paper
• Quantum computers

  2010cited by this paper
• A filter model for feature subset selection based on genetic algorithm

  2009cited by this paper
• Forecasting stock market short-term trends using a neuro-fuzzy based methodology

  2009cited by this paper
• A fuzzy GARCH model applied to stock market scenario using a genetic algorithm

  2009cited by this paper
• Surveying stock market forecasting techniques - Part II: Soft computing methods

  2009cited by this paper
• Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network

  2009cited by this paper
• A two-stage architecture for stock price forecasting by integrating self-organizing map and support vector regression

  2009cited by this paper
• Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)

  2009cited by this paper
• Development and performance evaluation of FLANN based model for forecasting of stock markets

  2009cited by this paper
• A combination of hidden Markov model and fuzzy model for stock market forecasting

  2009cited by this paper
• Data clustering and fuzzy neural network for sales forecasting: A case study in printed circuit board industry

  2009influential reference
• The adaptive neuro-fuzzy model for forecasting the domestic debt

  2008cited by this paper
• A TSK type fuzzy rule based system for stock price prediction

  2008cited by this paper
• Introduction to Evolutionary Computation

  2008cited by this paper
• Artificial neural networks based on principal component analysis input selection for clinical pattern recognition analysis.

  2007cited by this paper
• A fusion model of HMM, ANN and GA for stock market forecasting

  2007cited by this paper
• Advances in Fuzzy Clustering and its Applications

  2007cited by this paper
• Neural network and GA approaches for dwelling fire occurrence prediction

  2006cited by this paper
• A hybrid model by clustering and evolving fuzzy rules for sales decision supports in printed circuit board industry

  2006cited by this paper
• Computational Intelligence: Principles, Techniques and Applications

  2005cited by this paper
• Evolving neural network for printed circuit board sales forecasting

  2005cited by this paper
• Stock market forecasting using hidden Markov model: a new approach

  2005influential reference
• Genetic Fuzzy Systems: Status, Critical Considerations and Future Directions

  2005cited by this paper
• A neural network approach to predicting stock exchange movements using external factors

  2005cited by this paper
• A Hybrid Learning Process for the Knowledge Base of a Fuzzy Rule-Based System

  2004cited by this paper
• Book Review: "Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases" by Oscar Cordon, Francisco Herrera, Frank Hoffmann and Luis Magdalena; World Scientific, Singapore, New Jersey, London, Hong Kong, 2001, 462pp., ISBN 981-02-4016-3

  2004cited by this paper
• Predicting stock price using fuzzy grey prediction system

  2002cited by this paper
• Residential property price time series forecasting with neural networks

  2002cited by this paper
• A fuzzy expert system for the forecasting of wind speed and power generation in wind farms

  2001cited by this paper
• Hybrid Intelligent Systems for Stock Market Analysis

  2001cited by this paper
• An intelligent stock trading decision support system through integration of genetic algorithm based fuzzy neural network and artificial neural network

  2001cited by this paper
• Application of evolutionary computations at LG Electronics

  1999cited by this paper
• An Introduction to Evolutionary Computation

  1998cited by this paper
• Foundations Of Neuro-Fuzzy Systems

  1997cited by this paper
• A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples

  1997influential reference
• Stepwise regression is an alternative to splines for fitting noisy data.

  1996cited by this paper
• A comparison of SOM neural network and hierarchical clustering methods

  1996cited by this paper
• Genetic Algorithms in Engineering and Com- Puter Science Contents 13 Parallel Genetic Algorithms for Optimisation in Cfd

  1995cited by this paper
• A General Study on Genetic Fuzzy Systems

  1993cited by this paper
• Real-Coded Genetic Algorithms and Interval-Schemata

  1992cited by this paper
• Fuzzy Logic Synthesis with Genetic Algorithms

  1991cited by this paper
• The self-organizing map

  1990cited by this paper
• Knowledge-Based Systems

  1986cited by this paper
• A learning system based on genetic adaptive algorithms

  1980cited by this paper
• Cluster Analysis for Applications

  1973cited by this paper

• A Multi-Output Ensemble Learning Approach for Multi-Day Ahead Index Price Forecasting

  2025cites this paper
• A hybrid fuzzy-CNN model with feature extraction from MACD-based trends for stock market movement forecasting

  2025cites this paper
• Artificial intelligence and thermal energy storage: A review of design techniques and applications

  2025cites this paper
• Trends and challenges of forecasting in the airline industry research

  2025cites this paper
• Unraveling asset pricing with AI: A systematic literature review

  2025cites this paper
• Investigating the impact of sentiments on stock market using digital proxies: Current trends, challenges, and future directions

  2025cites this paper
• Stock price forecasting through symbolic dynamics and state transition graphs with a convolutional recurrent neural network architecture

  2025cites this paper
• Application of Immunological and Swarm Intelligence Learning-Based Algorithm for Industrial Grade Computer Sales Prediction

  2024cites this paper
• Adaptive Model Selection in Stock Market Prediction: A Modular and Scalable Big Data Analytics Approach

  2024cites this paper
• An integrated model of sentiment analysis and quantitative index data for predicting stock market trends: A case study of Tehran Stock Exchange

  2024cites this paper
• Mapping the knowledge structure of artificial neural network research in the stock market: a bibliometric analysis and future research pathways

  2024cites this paper
• A novel stochastic ProFiVaS model based on decomposition of stochastic Vasicek differential equation for modeling and simulating of financial indicators

  2024cites this paper
• Jump diffusion model for stock market price of small and medium-size enterprises

  2024cites this paper
• Neural Network-Based Predictive Models for Stock Market Index Forecasting

  2024cites this paper
• A Survey on Genetic Fuzzy Systems

  2024cites this paper
• Identifying Bulls and bears? A bibliometric review of applying artificial intelligence innovations for stock market prediction

  2024cites this paper
• Predicting Stock Closing Prices: A Deep Learning Approach to Financial Forecasting

  2024cites this paper
• Use of artificial intelligence methods in designing thermal energy storage tanks: A bibliometric analysis

  2024cites this paper
• Data vs. information: Using clustering techniques to enhance stock returns forecasting

  2023cites this paper
• Forecasting the Stock Price of Listed Innovative SMEs Using Machine Learning Methods Based on Bayesian optimization: Evidence from China

  2023cites this paper
• Firm value in the airline industry: perspectives on the impact of sustainability and Covid-19

  2023cites this paper
• Comprehensive Process of Multiportfolio Selection and Ordering

  2023cites this paper
• Forecasting of Taiwan's weighted stock Price index based on machine learning

  2023cites this paper
• Stock market prediction, COVID-19 pandemic and neural networks: an SCG algorithm application

  2023cites this paper
• AI-Infused Algorithmic Trading: Genetic Algorithms and Machine Learning in High-Frequency Trading

  2023cites this paper
• Overview of Advanced Deep Learning based Models for Stock Market Price Predictions

  2023cites this paper
• An artificial neural network for predicting air traffic demand based on socio-economic parameters

  2023cites this paper
• Artificial intelligence in financial forecasting: Evidence from literature

  2023cites this paper
• Stock Market Directional Prediction and a New Kind of Noise Filter

  2023cites this paper
• Learning latent dynamics with a grey neural ODE prediction model and its application

  2023cites this paper
• Systemic risk prediction based on Savitzky-Golay smoothing and temporal convolutional networks

  2023cites this paper
• Structure Changes in Autoregressive Conditional Skewness: Evidence from Digital Currency

  2023cites this paper
• A review of artificial intelligence quality in forecasting asset prices

  2023cites this paper
• Stock Market Prediction, COVID Pandemic, and Neural Networks: An Levenberg Marquardt Algorithm Application

  2023cites this paper
• Scientometric review and analysis of recent approaches to stock market forecasting: Two decades survey

  2023cites this paper
• Safe Trade – A Stock Recommender using Machine Learning Algorithms

  2023cites this paper
• A novel hybrid method based on kernel-free support vector regression for stock indices and price forecasting

  2022cites this paper
• Dynamic Volatility Modeling of Indonesian Insurance Company Stocks

  2022cites this paper
• Literature Review of various Fuzzy Rule based Systems

  2022cites this paper
• Forecasting the Volatility of the Stock Index with Deep Learning Using Asymmetric Hurst Exponents

  2022cites this paper
• Petroleum products consumption forecasting based on a new structural auto-adaptive intelligent grey prediction model

  2022cites this paper
• The role of political risk, uncertainty, and crude oil in predicting stock markets: evidence from the UAE economy

  2022cites this paper
• A Computational Intelligence Hybrid Algorithm Based on Population Evolutionary and Neural Network Learning for the Crude Oil Spot Price Prediction

  2022cites this paper
• Forecasts for international financial series with VMD algorithms

  2022cites this paper
• Dynamic analysis and community recognition of stock price based on a complex network perspective

  2022cites this paper
• Development of a stock trading system based on a neural network using highly volatile stock price patterns

  2022cites this paper
• Machine learning techniques and data for stock market forecasting: A literature review

  2022cites this paper
• Natural gas demand prediction: Methods, time horizons, geographical scopes, sustainability issues, and scenarios

  2022cites this paper
• Multi-view learning with distinguishable feature fusion for rumor detection

  2022cites this paper
• Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets

  2022cites this paper
• Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies

  2022cites this paper
• Literature Review of the Recent Trends and Applications in Various Fuzzy Rule-Based Systems

  2022cites this paper
• Oil and gold price prediction using optimized fuzzy inference system based extreme learning machine

  2022cites this paper
• Stock market prediction based on adaptive training algorithm in machine learning

  2022cites this paper
• A novel hybrid walk-forward ensemble optimization for time series cryptocurrency prediction

  2022cites this paper
• Forecasting petroleum products consumption in Cameroon's household sector using a sequential GMC(1,n) model optimized by genetic algorithms

  2022cites this paper
• Board diversity and firm performance: An empirical analysis of Italian small-medium enterprises

  2022cites this paper
• Predicting stock prices on the Tehran Stock Exchange by a new hybridization of Fuzzy Inference System and Fuzzy Imperialist Competitive Algorithm

  2022cites this paper
• Global natural gas demand to 2025: A learning scenario development model

  2021cites this paper
• The forecasting of consumer exchange-traded funds (ETFs) via grey relational analysis (GRA) and artificial neural network (ANN)

  2021cites this paper
• Impact of corporate performance on stock price predictions in the UAE markets: Neuro-fuzzy model

  2021cites this paper
• Makine Öğrenmesi Teknikleri İle Hisse Senedi Fiyat Tahmini

  2021cites this paper
• Trading Strategies Using Reinforcement Learning

  2021cites this paper
• Artificial Intelligence Applied to Stock Market Trading: A Review

  2021cites this paper
• A modular Takagi-Sugeno-Kang (TSK) system based on a modi(cid:12)ed hybrid soft clustering for stock selection

  2021cites this paper
• Dynamic early-warning model of dam deformation based on deep learning and fusion of spatiotemporal features

  2021cites this paper
• Predicting Stock Movements: Using Multiresolution Wavelet Reconstruction and Deep Learning in Neural Networks

  2021cites this paper
• Dynamic prediction of Indian stock market: an artificial neural network approach

  2021cites this paper
• Pearson Correlation Coefficient-based performance enhancement of Vanilla Neural Network for stock trend prediction

  2021cites this paper
• Stock index prediction and uncertainty analysis using multi-scale nonlinear ensemble paradigm of optimal feature extraction, two-stage deep learning and Gaussian process regression

  2021cites this paper
• Fuzzy cognitive networks with functional weights for time series and pattern recognition applications

  2021cites this paper
• A Repairing Artificial Neural Network Model-Based Stock Price Prediction

  2021cites this paper
• Forecasting price movements of global financial indexes using complex quantitative financial networks

  2021cites this paper
• Comparative Analysis of Stock Price Prediction by ANN and RF Model

  2021cites this paper
• Using a Genetic Algorithm to Build a Volume Weighted Average Price Model in a Stock Market

  2021cites this paper
• Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm

  2021cites this paper
• Hazard identification and prediction system for aircraft electrical system based on SRA and SVM

  2020cites this paper
• Forecasting of stock price index using support vector regression with multivariate empirical mode decomposition

  2020cites this paper
• The Implementation of Fuzzy Sets in Decision Making Process

  2020cites this paper
• Devising Technical Trading Rules for Pakistan Stock Exchange using Genetic Programming

  2020cites this paper
• A Prescriptive Stock Market Investment Strategy for the Restaurant Industry using an Artificial Neural Network Methodology

  2020cites this paper
• Review on Machine Learning Techniques for Stock-Market Forecasting

  2020cites this paper
• Stock Market Forecasting Using Computational Intelligence: A Survey

  2020cites this paper
• A Neuro-Fuzzy Approach to Detect Rumors in Online Social Networks

  2020cites this paper
• Training Multilayer Perceptron with Genetic Algorithms and Particle Swarm Optimization for Modeling Stock Price Index Prediction

  2020cites this paper
• Embedding Four Medium-Term Technical Indicators to an Intelligent Stock Trading Fuzzy System for Predicting: A Portfolio Management Approach

  2020cites this paper
• Effect of Architecture in Recurrent Neural Network Applied on the Prediction of Stock Price

  2020cites this paper
• Complexity Analysis of a Four-Dimensional Energy-Economy-Environment Dynamic System

  2020cites this paper
• Multi-factor Stock Selection Model Based on Machine Learning

  2020cites this paper
• Forecasting Stock Prices Using a Hybrid Deep Learning Model Integrating Attention Mechanism, Multi-Layer Perceptron, and Bidirectional Long-Short Term Memory Neural Network

  2020cites this paper
• Data Management Technologies and Applications: 8th International Conference, DATA 2019, Prague, Czech Republic, July 26–28, 2019, Revised Selected Papers

  2020cites this paper
• A new hybrid financial time series prediction model

  2020cites this paper
• A sparse deep belief network with efficient fuzzy learning framework

  2020cites this paper
• A

  2020cites this paper
• Damage Assessment of Earthen Sites of the Ming Great Wall in Qinghai Province

  2020cites this paper
• Optimizing Predictor Variables in Artificial Neural Networks When Forecasting Raw Material Prices for Energy Production

  2020cites this paper
• Deep Learning for Stock Market Prediction

  2020cites this paper
• A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques

  2020cites this paper
• Ensemble of machine learning algorithms for cryptocurrency investment with different data resampling methods

  2020cites this paper
• Modeling and Predicting the Lima Stock Exchange General Index with Bayesian Networks and Information from Foreign Markets

  2020cites this paper