Title :
Fuzzy neural network applications to power systems
Author_Institution :
Dept. of Electr. & Electron. Eng., Meiji Univ., Kawasaki, Japan
Abstract :
This paper presents an overview on applications of fuzzy neural networks to power systems. The idea of integrating an artificial neural network with fuzzy logic has been proposed to achieve tractability, robustness, and low solution cost of the systems to be studied in solving complicated problems. The idea is referred to as fuzzy neural networks, neuro-fuzzy or fuzzy-neuro. In this paper, studies on applications of fuzzy neural networks to power systems are investigated
Keywords :
fuzzy neural nets; multilayer perceptrons; power system analysis computing; artificial neural network; fuzzy inference; fuzzy logic; fuzzy neural network applications; fuzzy-neuro; hybrid model; low cost; multi-layer perceptron; neuro-fuzzy; power systems; robustness; Artificial intelligence; Artificial neural networks; Biological neural networks; Biological system modeling; Fuzzy logic; Fuzzy neural networks; Intelligent networks; Neural networks; Power system modeling; Power systems;
Conference_Titel :
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN :
0-7803-5935-6
DOI :
10.1109/PESW.2000.850130
