Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength
Fuzzy Neural Networks (FNNs) with the integration of fuzzy logic, neural networks and optimization techniques have not only solved the issue of “black box” in Artificial Neural Networks (ANNs) but also have been effective in a wide variety of real-world applications. Despite of attracting researcher...
Saved in:
主要作者: | Hussain Talpur, Kashif |
---|---|
格式: | Thesis |
语言: | English English English |
出版: |
2015
|
主题: | |
在线阅读: | http://eprints.uthm.edu.my/1327/2/KASHIF%20HUSSAIN%20TALPUR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/1327/1/24p%20KASHIF%20HUSSAIN%20TALPUR.pdf http://eprints.uthm.edu.my/1327/3/KASHIF%20HUSSAIN%20TALPUR%20WATERMARK.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Adoption of cloud computing by Malaysian small and medium enterprises
由: Asiaei, Arash
出版: (2021) -
The factors that influence on adoption of cloud computing for small and medium enterprises
由: Amini, Mahyar
出版: (2014) -
An improved bat algorithm with artificial neural networks for classification problems
由: Rehman Gillani, Syed Muhammad Zubair
出版: (2016) -
Improved cuckoo search based neural network learning algorithms for data classification
由: Abdullah, Abdullah
出版: (2014) -
Higher derivative block methods of generalised steplength for the direct solution of fuzzy ordinary differential equations
由: Hussain, Kashif
出版: (2023)