Backpropagation neural network training algorithm analysis / Shahrul Azmi Rosli
Neural network is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. Backpropagation, or propagation of error, is a common method of teaching artificial neural networks how to perform a given task. There is several t...
Saved in:
主要作者: | Rosli, Shahrul Azmi |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2010
|
在线阅读: | https://ir.uitm.edu.my/id/eprint/79846/1/79846.pdf https://ir.uitm.edu.my/id/eprint/79846/ |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Parallel backpropagation neural network training for face recognition
由: Omarov B., et al.
出版: (2023) -
Acceleration Strategies For The Backpropagation
Neural Network Learning Algorithm
由: Zainuddin, Zarita
出版: (2001) -
Backpropagation Neural Network For Colour Recognition
由: AL-Naqeeb, Abdul Aziz Hussien
出版: (2002) -
Dynamic training rate for backpropagation learning algorithm
由: Al-Duais, M. S., et al.
出版: (2013) -
Multi objective genetic algorithm for training three term backpropagation network
由: Osman Ibrahim, Ashraf, et al.
出版: (2013)