Refinement of generated weighted fuzzy production rules by using fuzzy neural networks for stock market prediction.
One of the most important problems in the modern finance is finding efficient ways of summarizing the stock market data that would allow one to obtain useful information about the behavior of the market. The trader's expectations to predict stock markets are seriously affected by some uncertain...
| Main Authors: | Md. Sap, Mohd. Noor, Khokar, Rashid Hafeez |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2005
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/8529/ http://eprints.utm.my/8529/1/MohdNoorMdSap2005_RefinementOfGeneratedWeightedFuzzyProduction.PDF |
Similar Items
Predictive fuzzy reasoning method for time series stock market data mining
by: Khokhar, Rashid Hafeez, et al.
Published: (2005)
by: Khokhar, Rashid Hafeez, et al.
Published: (2005)
Classification of stock market index based on predictive fuzzy decision tree
by: Khokhar, Arashid Hafeez
Published: (2005)
by: Khokhar, Arashid Hafeez
Published: (2005)
Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks
by: Wang, D., et al.
Published: (2003)
by: Wang, D., et al.
Published: (2003)
Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks
by: Wang, Dianhui, et al.
Published: (2003)
by: Wang, Dianhui, et al.
Published: (2003)
Thermal conductivity prediction of foods by Neural Network
and Fuzzy (ANFIS) modeling techniques
by: Rahman, Muhammad Shafiur, et al.
Published: (2012)
by: Rahman, Muhammad Shafiur, et al.
Published: (2012)
Fuzzy integral for rule aggregation in fuzzy inference systems
by: Tomlin, Leary, et al.
Published: (2016)
by: Tomlin, Leary, et al.
Published: (2016)
An economic forecasting based on association rules and neural network.
by: Defit, Sarjon, et al.
Published: (2001)
by: Defit, Sarjon, et al.
Published: (2001)
Monotone Data Samples Do Not Always Generate Monotone Fuzzy If-Then Rules
by: Teh, Chin Ying, et al.
Published: (2017)
by: Teh, Chin Ying, et al.
Published: (2017)
On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models
by: Tay, Kai Mei, et al.
Published: (2009)
by: Tay, Kai Mei, et al.
Published: (2009)
A New Hyperbox Selection Rule and a Pruning Strategy for the Enhanced Fuzzy Min–Max Neural Network
by: Mohammed, Mohammed Falah, et al.
Published: (2017)
by: Mohammed, Mohammed Falah, et al.
Published: (2017)
Improving the Fuzzy Min-Max Neural Network with a K-nearest Hyperbox Expansion Rule for Pattern Classification
by: Mohammed, Mohammed Falah, et al.
Published: (2017)
by: Mohammed, Mohammed Falah, et al.
Published: (2017)
Committee neural networks with fuzzy genetic algorithm.
by: Jafari , S.A., et al.
Published: (2011)
by: Jafari , S.A., et al.
Published: (2011)
Classification with degree of importance of attributes for stock market data mining
by: Khokhar, Rashid Hafeez, et al.
Published: (2004)
by: Khokhar, Rashid Hafeez, et al.
Published: (2004)
An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications
by: Cheng, Jian Lin, et al.
Published: (2015)
by: Cheng, Jian Lin, et al.
Published: (2015)
Evolving Fuzzy Neural Network Based Load Prediction Model In Dynamic Cell Sizing
by: Angela, Amphawan
Published: (2003)
by: Angela, Amphawan
Published: (2003)
Evolving Fuzzy Neural Network Based Load Prediction Model In Dynamic Cell Sizing
by: Angela, Amphawan
Published: (2003)
by: Angela, Amphawan
Published: (2003)
Using Recurrent Neural Networks and the Hilbert-Huang Transform for Stock Market Prediction
by: Moustra, Maria
Published: (2009)
by: Moustra, Maria
Published: (2009)
Rain prediction using fuzzy rule based system in North-West Malaysia
by: Noor Zuraidin, Mohd Safar, et al.
Published: (2019)
by: Noor Zuraidin, Mohd Safar, et al.
Published: (2019)
Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System
by: Tay, Kai Meng, et al.
Published: (2016)
by: Tay, Kai Meng, et al.
Published: (2016)
Stock Trend Prediction With Neural Network Techniques
by: Abdullah, Mohd Haris Lye
Published: (2003)
by: Abdullah, Mohd Haris Lye
Published: (2003)
Stock Trend Prediction With Neural Network Techniques
by: Mohd Haris Lye Abdullah,
Published: (2003)
by: Mohd Haris Lye Abdullah,
Published: (2003)
Prediction of stock price using neural network
by: Jalunis, Fatmawati, et al.
Published: (2011)
by: Jalunis, Fatmawati, et al.
Published: (2011)
Fuzzy-based NCTF controller for PTP positioning: fuzzy membership and rule based modifications
by: Purtojo, Purtojo, et al.
Published: (2011)
by: Purtojo, Purtojo, et al.
Published: (2011)
Fuzzy weights in data envelopment analysis.
by: Mansourirad, Ehsanollah, et al.
Published: (2010)
by: Mansourirad, Ehsanollah, et al.
Published: (2010)
Hong Kong Stock Markets Prediction Using Neural Networks: The Case of HENDERSON LAND Monthly Stock Price
by: Wang, Han
Published: (2016)
by: Wang, Han
Published: (2016)
Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
by: Zuwairie, Ibrahim, et al.
Published: (2014)
by: Zuwairie, Ibrahim, et al.
Published: (2014)
Modern fuzzy min max neural networks for pattern classification
by: Al Sayaydeh, Osama Nayel Ahmad
Published: (2019)
by: Al Sayaydeh, Osama Nayel Ahmad
Published: (2019)
Application Of The Fuzzy Min-Max Neural Networks To
Medical Diagnosis.
by: Quteishat, Anas Mohammad Ali, et al.
Published: (2008)
by: Quteishat, Anas Mohammad Ali, et al.
Published: (2008)
On-road sensor configuration design for traffic flow prediction using fuzzy neural networks and Taguchi method
by: Chan, Kit Yan, et al.
Published: (2013)
by: Chan, Kit Yan, et al.
Published: (2013)
Comparison between prediction capabilities of neural network and fuzzy logic techniques for L and slide susceptibility mapping.
by: Pradhan, Biswajeet, et al.
Published: (2010)
by: Pradhan, Biswajeet, et al.
Published: (2010)
A New Framework With Similarity Reasoning and
Monotone Fuzzy Rule Relabeling for Fuzzy Inference
Systems
by: Tay, Kai Meng, et al.
Published: (2013)
by: Tay, Kai Meng, et al.
Published: (2013)
Fuzzy Rules Optimization in Fuzzy Expert System for
Machinability Data Selection: Genetic Algorithms Approach
by: Wong, Shaw Voon, et al.
Published: (2001)
by: Wong, Shaw Voon, et al.
Published: (2001)
Minimum rule-based parallel structure fuzzy controller
by: Karimadini, Mohammad, et al.
Published: (2005)
by: Karimadini, Mohammad, et al.
Published: (2005)
Rule-based fuzzy logic controller with adaptable reference
by: Khan, Sheroz, et al.
Published: (2008)
by: Khan, Sheroz, et al.
Published: (2008)
Using fuzzy association rule mining in cancer classification
by: Mahmoodian, Sayed Hamid, et al.
Published: (2011)
by: Mahmoodian, Sayed Hamid, et al.
Published: (2011)
Optimization of fuzzy rules design using genetic algorithm
by: Wong, S.V., et al.
Published: (2000)
by: Wong, S.V., et al.
Published: (2000)
Fuzzy rules reduction using rough set approach
by: Yusof, Norazah, et al.
Published: (2003)
by: Yusof, Norazah, et al.
Published: (2003)
An efficiency evaluation problem including fuzzy weights
by: Heydar, Maryam, et al.
Published: (2014)
by: Heydar, Maryam, et al.
Published: (2014)
On complex bipolar fuzzy weighted aggregation operators
by: Ali, Mabruka, et al.
Published: (2022)
by: Ali, Mabruka, et al.
Published: (2022)
Hardware Realization Of Fuzzy Wavelets Neural Network To Power Quality Analysis
by: Choong, Florence Chiao Mei
Published: (2005)
by: Choong, Florence Chiao Mei
Published: (2005)
Similar Items
-
Predictive fuzzy reasoning method for time series stock market data mining
by: Khokhar, Rashid Hafeez, et al.
Published: (2005) -
Classification of stock market index based on predictive fuzzy decision tree
by: Khokhar, Arashid Hafeez
Published: (2005) -
Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks
by: Wang, D., et al.
Published: (2003) -
Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks
by: Wang, Dianhui, et al.
Published: (2003) -
Thermal conductivity prediction of foods by Neural Network
and Fuzzy (ANFIS) modeling techniques
by: Rahman, Muhammad Shafiur, et al.
Published: (2012)