Application of Artificial Neural Networks in Civil Engineering
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 9
Abstract
The use of artificial neural networks (ANNs) has increased in many areas of engineering for over the last few years. The ANNs have been applied to many geotechnical engineering problems and have demonstrated some degree of success also. A review of the literature reveals that ANNs have been used successfully in pile capacity prediction, modeling soil behaviour, site characterization, earth retaining structures, settlement of structures, slope stability, design of tunnels and underground openings, liquefaction, soil permeability and hydraulic conductivity, soil compaction, soil swelling and classification of soils. In this paper the various architectures of NN and learning process have been examined. The needs for neural networks, training of neural networks, and important algorithms used in realizing neural networks along with identifying limitations, recent advances and promising future research have also been briefly discussed. Its applications in electrical, civil and agricultural engineering were also examined.
Authors and Affiliations
Pratyush .
Keywords
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