Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

• Main Authors: Hassani, Mohsen, Armaghani, Danial Jahed, Marto, Aminaton, Mohamad, Edy Tonnizam
• 格式: Article
• 出版: Springer 2015
• 主题: TA Engineering (General). Civil engineering (General)
• 在线阅读: http://eprints.utm.my/id/eprint/55534/; http://dx.doi.org/10.1007/s10064-014-0657-x

This paper presents a new hybrid artificial neural network (ANN) optimized by imperialist competitive algorithm (ICA) to predict peak particle velocity (PPV) resulting from quarry blasting. For this purpose, 95 blasting works were precisely monitored in a granite quarry site in Malaysia and PPV valu...