Performance prediction of gravity concentrator by using artificial neural network-a case study

• 作 者: Panda Lopamudra Tripathy Sunil
• 机 构: ResearchandDevelopmentDivisionTataSteelLtd.
• 出 处: 矿业科学技术学报：英文版
• 发表日期: 2014年4期
• 关键词: 人工神经网络 铁矿选矿厂 性能预测 重力 三层前馈神经网络 案例 神经网络模型 有效回收 Chromite Artificial neural network
• 基金项目: Authors gracefully acknowledge the Management Tata Steel Management for giving permission to publish this work. Also authors would like to acknowledge to their colleagues and staff of R＆D for their as

In conventional chromite beneficiation plant, huge quantity of chromite is used to loss in the form of tailing. For recovery these valuable mineral, a gravity concentrator viz. wet shaking table was used.Optimisation along with performance prediction of t