Forecasting The Compressive Strength Of Self-Compacting Concretes Containing Mineral Admixtures By Artificial Neural Networks
This research was conducted to design an artificial neural network for predicting the compressive strength of self compacting concrete containing mineral admixtures. This prediction is divided into feed forward back propagation and reverse neural network model. The first part the model can predict t...
محفوظ في:
المؤلف الرئيسي: | Papzan, Ali |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2011
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.usm.my/41368/1/ALI_PAPZAN.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
The effect of aggregate and mineral admixtures on engineering properties of high strength self compacting concrete /
بواسطة: Khaleel, Omar Riyadh -
Influence of chemical and mineral admixtures on shrinkage and creep of prepacked aggregate concrete
بواسطة: Hossein, Aslani
منشور في: (2013) -
The properties and flexural behaviour of self compacting concrete using rice husk ash and admixture
بواسطة: Muda, Mohd. Fakri
منشور في: (2009) -
Influence Of Steam Curing On Engineering And Fluid Transport Properties Of High Strength Green Concrete Containing Palm Oil Fuel Ash
بواسطة: Zeyad, Abdullah Mohsen Ahmed
منشور في: (2013) -
The properties and flexural behaviour of self compacting concrete using palm oil fuel ash and admixture
بواسطة: Azmi, Azharie Effenddy
منشور في: (2008)