Rough set-based fuzzy-neural network model design for thermodynamic systems
Xiangdong Xu · Journal of Tsinghua University(Science and Technology) · 2004
Fuzzy-neural networks can accurately identify thermodynamic systems, but the networks usually have a slow learning speed. This study presents an improved fuzzy-neural network method that applies Kohonen network clustering analysis to the data table, and then uses rough sets in the fuzzy-neural network to reduce the decision table size and to accelerate the approach to the minimal rules. In a stimulation of a boiler steam loop, the rough set-based fuzzy-neural network increased the learning speed and reduced the error. Therefore, the rough set-based fuzzy-neural network improves the performance of fuzzy-neural networks used for analyzing thermodynamic systems.