Optimization of dry compressive strength of groundnut shell ash particles (GSAp) and ant hill bonded foundry sand using ann and genetic algorithm

In this research work, modeling and multi-objective optimization of dry foundry sand parameters were done using artificial neural network (ANN) and genetic algorithm (GA). ANN was used to predict dry compressive strength and unit production cost of dry foundry sand. The input parameters of the ANN w...

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Autores principales: Chidozie Chukwuemeka Nwobi-Okoye, Patrick Chukwuka Okonji, Stanley Okiy
Formato: article
Lenguaje:EN
Publicado: Taylor & Francis Group 2019
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Acceso en línea:https://doaj.org/article/05ac0f98d1f54612a6844ab42216638a
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