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 Fuzzy Neural Network for Pattern Recognition of Power System Events. Fuzzy Neural Network Pattern Recognition Algorithm for Classification of the Events in Power System Networks
Наименование:

Fuzzy Neural Network for Pattern Recognition of Power System Events. Fuzzy Neural Network Pattern Recognition Algorithm for Classification of the Events in Power System Networks

автор Slavko V. издательство Книга по Требованию Организация здравоохранения
Cтраниц 144        мягкая обложка       
Аннотация:Simulation results show improved recognition capabilities compared to a previous version of ART neural network algorithm, Multilayer Perceptron (MLP) neural network algorithm, and impedance based distance relay An advanced artificial intelligence based algorithm for detecting and classifying faults on the power system transmission line is introduced. During application, real events are classified based on the interpretation of their matching to the prototypes through fuzzy decision rule. Training of the neural network is based on the combined use of unsupervised and supervised learning methods. The approach utilizes self-organized, Adaptive Resonance Theory (ART) neural network, combined with fuzzy decision rule for interpretation of neural network outputs. During training, a set of input events is transformed into a set of prototypes of typical input events. This study introduces several enhancements to the original version of the ART algorithm: suitable preprocessing of neural network inputs, improvement in the concept of supervised learning, fuzzyfication of neural network outputs, and utilization of on- line learning.
Автор: Slavko V.
Издательство: Книга по Требованию
Год:2009
Цена:
2415 руб
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Поиск: Fuzzy Neural Network for Pattern Recognition of Power System Events. Fuzzy Neural Network Pattern Recognition Algorithm for Classification of the Events in Power System Networks
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