Implementationof Artificial Neural Network for Recognition of Factors InfluencingLabor Production Rates for Concreting Activities– A Review
Journal Title: IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) - Year 2018, Vol 15, Issue 5
Abstract
Construction projects globally is considered to be multifaceted in nature. This complex work involves estimates of labor production rates during the planning as well as in the execution phase of the project. These estimates are habitually carried out by experienced personnel based on his/her experience, may sometimes not have the means to discern the controlling factor factors affecting the production rates. There are various trends in the soft computing techniques for identification of labor production rate in construction, and one being associated with Artificial Neural Networks (ANN). The current study emphasises on critical literature review on factors likely to affect the productivity rates for concreting activities like reinforcement installation, formwork installation and concreting placement and also some of the other industrial activities.
Authors and Affiliations
Mistry. Jignesh. Mukeshchandra, Dr. (Mrs. ) Geetha. K. Jayaraj
Keywords
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- EP ID EP438845
- DOI 10.9790/1684-1505040714.
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