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...
محفوظ في:
المؤلف الرئيسي: | Hussain Talpur, Kashif |
---|---|
التنسيق: | أطروحة |
اللغة: | English English English |
منشور في: |
2015
|
الموضوعات: | |
الوصول للمادة أونلاين: | 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 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Adoption of cloud computing by Malaysian small and medium enterprises
بواسطة: Asiaei, Arash
منشور في: (2021) -
The factors that influence on adoption of cloud computing for small and medium enterprises
بواسطة: Amini, Mahyar
منشور في: (2014) -
An improved bat algorithm with artificial neural networks for classification problems
بواسطة: Rehman Gillani, Syed Muhammad Zubair
منشور في: (2016) -
Improved cuckoo search based neural network learning algorithms for data classification
بواسطة: Abdullah, Abdullah
منشور في: (2014) -
Higher derivative block methods of generalised steplength for the direct solution of fuzzy ordinary differential equations
بواسطة: Hussain, Kashif
منشور في: (2023)