Design of dynamic adaptive fuzzy neural networks with applications in fault diagnosis and short-term load forecasting
Soft Computing became a formal Computer Science area of study in the early 1990's. It deals with imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low-cost solution. Fuzzy systems and neural networks have been regarded as the main branches of Sof...
Saved in:
主要作者: | Du, Juan |
---|---|
其他作者: | Er Meng Joo |
格式: | Theses and Dissertations |
語言: | English |
出版: |
2011
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/46272 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Adaptive short-term load forecasting using artificial neural networks
由: Gooi, Hoay Beng.
出版: (2008) -
ARTIFICIAL NEURAL NETWORK AND FUZZY LOGIC SOLUTIONS TO SHORT-TERM LOAD FORECASTING
由: YI MINJUN
出版: (2020) -
ADAPTIVE SHORT-TERM ELECTRICAL LOAD FORECASTER USING ARTIFICIAL NEURAL NETWORKS
由: TAN SWEE SIEN
出版: (2020) -
Short-term residential load forecasting based on LSTM recurrent neural network
由: Kong, Weicong, et al.
出版: (2021) -
A neural network short-term load forecaster
由: Srinivasan, D., et al.
出版: (2014)