Prediction of Maximum Dry Density and Specific Gravity of Fly Ash Using Support Vector Machine Akshaya Kumar Sabat Associate Professor Department of Civil Engineering, - Specific gravity - Document - PDFSEARCH.IO

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	Prediction of Maximum Dry Density and Specific Gravity of Fly Ash Using Support Vector Machine Akshaya Kumar Sabat Associate Professor Department of Civil Engineering, Add to Reading List Document Date: 2015-01-03 17:35:58 Open Document File Size: 164,50 KB Share Result on Facebook City Das / / Company Neural Networks / ANN / Model Inputs Training Performance Models R / / Country China / India / / / Facility O’Anusandhan University Khandagiri Square / Institute of Technical Education / / IndustryTerm cement / soft computing technique / learning algorithms / / Organization Institute of Technical Education and Research Siksha / Power Division / Artiﬁcial Intelligence / Fly Ash Using Support Vector Machine Akshaya Kumar Sabat Associate Professor Department of Civil Engineering / / Person Dry Density / Fe / Nanda / Specific Gravity / / Position AL2O3+SiO2 / CaO / General / Cao / / Product Samsung Gravity 3 Cellular Phone / / ProvinceOrState S.K. / / Technology machine learning / Neural Network / / SocialTag Environment Fly ash Economic model Machine learning Silicon Valley Microelectronics Statistics Statistical classification Support vector machine

Prediction of Maximum Dry Density and Specific Gravity of Fly Ash Using Support Vector Machine Akshaya Kumar Sabat Associate Professor Department of Civil Engineering,Add to Reading List