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Neural Networks
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Fuzzy Sets and Systems
Fuzzy rule base generation for classification and its minimization via modified threshold accepting
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Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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Fuzzy Sets and Systems - Modeling and control
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Fuzzy Sets and Systems - Theme: Modeling and control
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Decision Support Systems - Special issue: Data mining for financial decision making
Evolving neural network for printed circuit board sales forecasting
Expert Systems with Applications: An International Journal
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Expert Systems with Applications: An International Journal
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Expert Systems with Applications: An International Journal
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A hybrid approach to design efficient learning classifiers
Computers & Mathematics with Applications
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Expert Systems with Applications: An International Journal
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Profiling Retail Web Site Functionalities and Conversion Rates: A Cluster Analysis
International Journal of Electronic Commerce
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Review article: A review of soft computing applications in supply chain management
Applied Soft Computing
Fuzzy rule-based system for the economic analysis of RFID investments
Expert Systems with Applications: An International Journal
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Expert Systems with Applications: An International Journal
Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Computers and Electronics in Agriculture
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Classification knowledge discovery in mold tooling test using decision tree algorithm
Journal of Intelligent Manufacturing
A genetic algorithm-based rule extraction system
Applied Soft Computing
A new class of hybrid models for time series forecasting
Expert Systems with Applications: An International Journal
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Decision Support Systems
Fuzzy artificial neural network p, d, q model for incomplete financial time series forecasting
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This research develops a hybrid model by integrating Self Organization Map (SOM) neural network, Genetic Algorithms (GA) and Fuzzy Rule Base (FRB) to forecast the future sales of a printed circuit board factory. This hybrid model encompasses two novel concepts: (1) clustering an FRB into different clusters, thus the interaction between fuzzy rules is reduced and a more accurate prediction model can be established, and (2) evolving an FRB by optimizing the number of fuzzy terms of the input and output variables, thus the prediction accuracy of the FRB is further improved. Numerical data of various affecting factors and actual demand of the past 5 years of the printed circuit board (PCB) factory are collected and inputted into the hybrid model for future monthly sales forecasting. Experimental results show the effectiveness of the hybrid model when comparing it with other approaches. However, the theoretical development of the validity of clustering an FRB into sub clusters remains to be proven.