节点文献
基于神经网络的混匀配料优化方法
NEURAL NETWORK BASED ON OPTIMILED ORE BLENDING PROCESS
【摘要】 运用神经优化网络对武钢工业港的混匀配料进行了优化计算 ,计算结果证明是切实可行的 ,而且比传统的计算方法速度快、精确度高 ,为混匀配料提供了必要的定量依据。基于神经网络的优化计算也为以后类似问题的优化计算提供了新的途径和方法。
【Abstract】 Ore blending has been optimized in the Industrial Port of WISCO by way of neural network calculation. Rosults indicate that the neural network based calculation method, which is more applicable and of greater speed and higher accuracy over the conventional method provides all necessary quantitative basis for charge mixing and finds a new way to Solve aroblems of the simifar Kind.
- 【文献出处】 钢铁研究 ,RESEACH ON IRON AND STEEL , 编辑部邮箱 ,2000年04期
- 【分类号】TP183
- 【被引频次】20
- 【下载频次】140