Research on Dispatching Automation System Automatic Recognition Technology Based on Fuzzy Pattern Recognition Algorithm

W288 the development of automation, the dispatching automation system need to handle a large amount of messy signals. It is significant to ensure system stability by recognizing and classifying signals quickly and accurately. This paper introduces a learning algorithm based on the feature weight of...

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Bibliographic Details
Published in:2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC) pp. 962 - 966
Main Authors: Jiang, Wang, Xiang, Hongji
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2018
Subjects:
Automation
Classification algorithms
Clustering algorithms
Dispatching
dispatching automation system
fuzzy logic
pattern recognition
Power grids
signal processing
Signal processing algorithms
Telemetry
weighted fuzzy C mean
Online Access:Get full text
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Summary:W288 the development of automation, the dispatching automation system need to handle a large amount of messy signals. It is significant to ensure system stability by recognizing and classifying signals quickly and accurately. This paper introduces a learning algorithm based on the feature weight of CFuzziness function, which could solve dimension disaster problem of fuzzy C mean algorithm. By minimizing the function CFuzziness with the gradient descent algorithm, a proper weight value can be given to each feature, and the weighted fuzzy C mean algorithm is obtained. The results show that the clustering results of weighted fuzzy C mean algorithm are superior to the fuzzy C mean algorithm.
DOI:10.1109/IMCEC.2018.8469414