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Modeling and analysis of ready mix concrete slump using hybrid genetic algorithms-artificial neural networks : a thesis report

By: Chandwani, Vinay (2011RST7139)Contributor(s): Agarwal, Vinay [Supvr.] | Nagar, Ravindra [Supvr.]Material type: Text

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TextPublication details: Jaipur Department of Civil Engineering, MNIT 2017 Description: xx,194p. +1 CDSubject(s): Civil engineering | Hybrid genetic algorithms-artificial neural networks | Ready mix concrete slump - modelling and analysisDDC classification: 624

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Item type	Current library	Call number	Status	Date due	Barcode
Thesis	Malaviya National Institute of Technology Reference	624 (Browse shelf(Opens below))	Not for loan		TH00157

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Previous	624 Durability studies on concrete containing high volumes of Fly Ash : a thesis report	624 Application of artificial neural networks in conceptual design of post - tensioned slabs : a thesis report	624 Use of jarosite as part replacement of fine aggregates in concrete and its effects on durability : a thesis report	624 Modeling and analysis of ready mix concrete slump using hybrid genetic algorithms-artificial neural networks : a thesis report	624 Optimal placement of multi actuators and target response reduction in active control of building frames : a thesis report	624 Development of low-cost field test kit for early presence/absence and enumeration of coliforms in drinking water : a thesis report	624 Climate change and its impact on watershed behaviour : a thesis report	Next

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