Using feed-forward back propagation (FFBP) neural networks for compressive strength prediction of lightweight concrete made with different percentage of scoria instead of sand

• Main Authors: Razavi, S.V., Jumaat, Mohd Zamin, Ei-Shafie, A.H.
• Format: Article
• Language: English
• Published: International Journal of Physical Sciences 2011
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/5944/1/Razavi__et_al.pdf; http://eprints.um.edu.my/5944/; http://www.scopus.com/inward/record.url?eid=2-s2.0-79957957835&partnerID=40&md5=d2b57e97fc91f8be71406f9abb0d408d
• Institution: Universiti Malaya

Artificial neural networks (ANNs) are the result of academic investigations that use mathematical formulations to model nervous system operations. Neural networks (NNs) represent a meaningfully different approach to using computers in the workplace, and have been used to recognize patterns and relat...