Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
Induction of fuzzy decision trees
Fuzzy Sets and Systems
A genetic algorithm method for optimizing fuzzy decision trees
Information Sciences: an International Journal
A genetic algorithm for generating fuzzy classification rules
Fuzzy Sets and Systems
Fuzzy Control and Fuzzy Systems
Fuzzy Control and Fuzzy Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
A comparison between neural-network forecasting techniques-case study: river flow forecasting
IEEE Transactions on Neural Networks
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Fuzzy ID3 (FIDs) is popular and efficient method of making fuzzy decision trees in recent years. This paper presents FIDs algorithm for the precipitations during typhoon periods for a reservoir watershed. The FIDs was constructed as the quantitative precipitation forecast (QPF) model. This study also constructed the traditional C4.5 and the average statistical model (AVS) to compare with the performance by FIDs model. The steps involve collecting typhoon data, preprocessing the typhoon patterns, building QPF models, and training and testing the models. The experiment was in Shihmen Reservoir watershed. The results include the analysis of the 1-, 3-, and 6-hr accumulated rainfalls. The results showed that the superior RMSE and the categorical statistics of BIAS and ETS scores by using FIDs in contrast to those by using traditional C4.5 and AVS. Consequently, the FIDs model demonstrated its feasibility for predict rainfalls.