Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.
The realistic dynamics mathematical model of a system is very important for analyzing a system. The mathematical system model can be derived by applying physical, thermodynamic, and chemistry laws. But this method has some drawbacks, among which is difficult for complex systems, sometimes is untr...
Saved in:
主要作者: | Kwad, Ayad Mahmood |
---|---|
格式: | Thesis |
語言: | English English English |
出版: |
2022
|
主題: | |
在線閱讀: | http://eprints.uthm.edu.my/8404/1/24p%20AYAD%20MAHMOOD%20KWAD.pdf http://eprints.uthm.edu.my/8404/2/AYAD%20MAHMOOD%20KWAD%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8404/3/AYAD%20MAHMOOD%20KWAD%20WATERMARK.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Weighted Multi-Threaded Process Fair Operating System Scheduler
由: Siang, Wong Chee
出版: (2009) -
An Enhanced Probabilistic Neural Network For Pattern Classification
由: Chang, Roy Kwang Yang
出版: (2010) -
Stock Trend Prediction With Neural Network Techniques
由: Abdullah, Mohd Haris Lye
出版: (2003) -
VHDL Modeling Of Speech Recognition Using Neural Network
由: Teoh, Kung Yu
出版: (2005) -
Neural Network Based Lossless Data Compression Schemes For Telemetry Data
由: N. Rajasvaran, R.Logeswaran
出版: (2000)