ATHENS SEASONAL VARIATION OF GROUND RESISTANCE PREDICTION USING NEURAL NETWORKS
The objective in ground resistance is to attain the most minimal ground safety esteem conceivable that bodes well monetarily and physically. An application of artificial neural networks (ANN) to presage and relegation has been growing rapidly due to sundry unique characteristics of ANN models. A dec...
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| Format: | Article |
| Language: | English |
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ICT Academy of Tamil Nadu
2015-10-01
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| Series: | ICTACT Journal on Soft Computing |
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| Online Access: | http://ictactjournals.in/paper/IJSC_V6_I1_paper_8_pp_1113_1116.pdf |