Forecasting of photovoltaic output using hybrid particle swarm optimization-artificial neural network model / Muhamad Faizol Adli Abdullah
Backpropagation (BP) algorithm is widely used to solve many real world problems by using the concept of Multilayer Perception (MLP). However, major disadvantages of BP are its convergence rate is relatively slow and always being trapped at the local minima. To overcome these problems, Particle Swarm...
Saved in:
主要作者: | Abdullah, Muhamad Faizol Adli |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2010
|
主題: | |
在線閱讀: | https://ir.uitm.edu.my/id/eprint/79028/1/79028.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
-
Multiple peaks tracking for photovoltaic system using particle swarm optimization with artificial neural network algorithm
由: Ngan, Mei Shan
出版: (2013) -
Artificial neural network technique to predict the power output of photovoltaic for monocrystalline and polycrystalline
由: Mohamed, Abdou Mani
出版: (2022) -
Prediction output current and output power of photovoltaic system using artificial neural network / Muhamad Azim Mohd Wadzir
由: Mohd Wadzir, Muhamad Azim
出版: (2013) -
Deterministic particle swarm optimization method for maximum power point tracking of photovoltaic system
由: Ishaque, Kashif
出版: (2012) -
Optimal distributed generation output and battery switching station placement via ranked evolutionary particle swarm optimization
由: Jamian, Jasrul Jamani
出版: (2013)