Artificial neural network approach using Levenberg-Marquardt algorithm in the use of bottom ash waste in concrete hollow block design

• Main Author: Ongpeng, Jason Maximino Co
• Format: text
• Language: English
• Published: Animo Repository 2003
• Subjects: Neural networks (Computer science); Evolutionary computation; Algorithms; Waste products; Concrete blocks
• Online Access: https://animorepository.dlsu.edu.ph/etd_masteral/3046
• Institution: De La Salle University

Neural Network modeling was applied for the prediction of compressive strength of Coal Bottom Ash (CBA). Levenberg-Marquardt was used for the different neural network architectures to find acceptable models than can accurately predict the compressive strength of CHB's and realistically model th...