Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick
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[1] Pei-Chann Chang,et al. A TSK type fuzzy rule based system for stock price prediction , 2008, Expert Syst. Appl..
[2] Esmaeil Hadavandi,et al. Hybridization of evolutionary Levenberg-Marquardt neural networks and data pre-processing for stock market prediction , 2012, Knowl. Based Syst..
[3] Shingo Mabu,et al. A genetic network programming with learning approach for enhanced stock trading model , 2009, Expert Syst. Appl..
[4] Kimon P. Valavanis,et al. Surveying stock market forecasting techniques - Part II: Soft computing methods , 2009, Expert Syst. Appl..
[5] Zehong Yang,et al. Intelligent stock trading system based on improved technical analysis and Echo State Network , 2011, Expert Syst. Appl..
[6] Guofu Zhou,et al. Technical analysis: An asset allocation perspective on the use of moving averages , 2009 .
[7] Mohammad Modarres,et al. Fuzzy turnover rate chance constraints portfolio model , 2013, Eur. J. Oper. Res..
[8] You-Shyang Chen,et al. A soft-computing based rough sets classifier for classifying IPO returns in the financial markets , 2012, Appl. Soft Comput..
[9] Shouyang Wang,et al. A causal feature selection algorithm for stock prediction modeling , 2014, Neurocomputing.
[10] Yung-Ming Shiu,et al. Profitable candlestick trading strategies—The evidence from a new perspective , 2012 .
[11] Ganapati Panda,et al. Development and performance evaluation of FLANN based model for forecasting of stock markets , 2009, Expert Syst. Appl..
[12] A. Gani,et al. A clustering model based on an evolutionary algorithm for better energy use in crop production , 2015, Stochastic Environmental Research and Risk Assessment.
[13] Edilson Ferneda,et al. On the Effectiveness of Candlestick Chart Analysis for the Brazilian Stock Market , 2013, KES.
[14] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[15] Cheng-Lung Huang,et al. A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting , 2009, Expert Syst. Appl..
[16] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[17] Ah Chung Tsoi,et al. Lessons in Neural Network Training: Overfitting May be Harder than Expected , 1997, AAAI/IAAI.
[18] Siti Mariyam Hj. Shamsuddin,et al. Data Modeling for Kuala Lumpur Composite Index with ANFIS , 2008, 2008 Second Asia International Conference on Modelling & Simulation (AMS).
[19] Samarjit Kar,et al. Applications of neuro fuzzy systems: A brief review and future outline , 2014, Appl. Soft Comput..
[20] Kazuyuki Murase,et al. A new wrapper feature selection approach using neural network , 2010, Neurocomputing.
[21] Kyungjik Lee,et al. Expert system for predicting stock market timing using a candlestick chart , 1999 .
[22] Francisco Guijarro,et al. Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data , 2015, Expert Syst. Appl..
[23] Nikolaos Kourentzes,et al. Feature selection for time series prediction - A combined filter and wrapper approach for neural networks , 2010, Neurocomputing.
[24] Lukas Menkhoff. The use of technical analysis by fund managers: International evidence , 2010 .
[25] O. Ogbobe,et al. Protection of Mild Steel Corrosion in Sulphuric Acid Environment Using Wheat Starch , 2017, International Journal of Engineering and Technologies.
[26] Mohsen Akbari,et al. Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization , 2014, Expert Syst. Appl..
[27] David Enke,et al. Intelligent technical analysis based equivolume charting for stock trading using neural networks , 2008, Expert Syst. Appl..
[28] Akbar Esfahanipour,et al. Adapted Neuro-Fuzzy Inference System on indirect approach TSK fuzzy rule base for stock market analysis , 2010, Expert Syst. Appl..
[29] Gil Alterovitz,et al. Accelerating wrapper-based feature selection with K-nearest-neighbor , 2015, Knowl. Based Syst..
[30] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[31] Caro Lucas,et al. Colonial Competitive Algorithm as a Tool for Nash Equilibrium Point Achievement , 2008, ICCSA.
[32] Richard Weber,et al. A wrapper method for feature selection using Support Vector Machines , 2009, Inf. Sci..
[33] Chenn-Jung Huang,et al. Application of wrapper approach and composite classifier to the stock trend prediction , 2008, Expert Syst. Appl..
[34] Sahil Shah,et al. Predicting stock market index using fusion of machine learning techniques , 2015, Expert Syst. Appl..
[35] George S. Atsalakis,et al. Elliott Wave Theory and neuro-fuzzy systems, in stock market prediction: The WASP system , 2011, Expert Syst. Appl..
[36] Xiaoming Xu,et al. A hybrid genetic algorithm for feature selection wrapper based on mutual information , 2007, Pattern Recognit. Lett..
[37] S. Kimiagari,et al. A Modern Neural Network Model to Do Stock Market Timing on the Basis of the Ancient Investment Technique of Japanese Candlestick , 2010 .
[38] Esmaeil Hadavandi,et al. A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price , 2015, Appl. Soft Comput..
[39] Pradipta Kishore Dash,et al. A hybrid evolutionary dynamic neural network for stock market trend analysis and prediction using unscented Kalman filter , 2014, Appl. Soft Comput..
[40] Young-Chan Lee,et al. Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters , 2005, Expert Syst. Appl..
[41] Mohammad Modarres,et al. Developing an approach to evaluate stocks by forecasting effective features with data mining methods , 2015, Expert Syst. Appl..
[42] Caro Lucas,et al. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition , 2007, 2007 IEEE Congress on Evolutionary Computation.
[43] Tsung-Hsun Lu,et al. The profitability of candlestick charting in the Taiwan stock market , 2014 .
[44] Azlan Mohd Zain,et al. Robust optimization of ANFIS based on a new modified GA , 2015, Neurocomputing.
[45] Hiroki Tamura,et al. Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction , 2009, Neurocomputing.
[46] Timothy L. Urban,et al. A neural network approach to mutual fund net asset value forecasting , 1996 .
[47] Nasser L. Azad,et al. Vehicle speed prediction via a sliding-window time series analysis and an evolutionary least learning machine: A case study on San Francisco urban roads , 2015 .
[48] Qinghua Wen,et al. Automatic stock decision support system based on box theory and SVM algorithm , 2010, Expert Syst. Appl..
[49] Chih-Fong Tsai,et al. Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches , 2010, Decis. Support Syst..
[50] Caro Lucas,et al. Colonial competitive algorithm: A novel approach for PID controller design in MIMO distillation column process , 2008, Int. J. Intell. Comput. Cybern..