An adopted neural network model for estimating productivity performance of ready-mixed concrete (RMC) placement for Metro Manila buildings

• 主要作者: Alonzo, Joel U.
• 格式: text
• 語言: English
• 出版: Animo Repository 1999
• 主題: Ready-mixed concrete; Concrete construction; Construction Engineering and Management
• 在線閱讀: https://animorepository.dlsu.edu.ph/etd_masteral/6831
• 機構: De La Salle University

A neural · network technique was used in this study to adopt a model in predicting ready-mixed concrete placement productivity specifically by concrete pumps and by crane arid buckets, and to identify the key factors affecting it. Data from 27 surveyed building projects in Metro Manila have been use...