| 遗传神经网络预测模型在选矿中的应用 |
| |
| 引用本文： | 景广军,梁雪梅,李松仁. 遗传神经网络预测模型在选矿中的应用[J]. 有色金属, 2000, 52(4): 27-32 |
| |
| 作者姓名： | 景广军 梁雪梅 李松仁 |
| |
| 作者单位： | 中南大学矿物工程系,长沙,410083 |
| |
| 基金项目： | 国家自然科学基金资助项目(59574034),湖南省自然科学基金资助项目 |
| |
| 摘 要： | 分析遗传算法（ＧＡ）及ＢＰ神经网络（ＮＮ）的理论基础，提出了ＧＡ与ＮＮ结合的主要方式和步骤。讨论了基于遗传神经网络的建模思路，主要针对矿石可选性预测、选矿生产指标预报问题，建立相应的遗传神经网络模型。论述了选矿数据预处理的方法和ＧＡ－ＢＰ神经网络的设计。通过实例验证，模型的预测精度达到９０％以上。
|
| 关 键 词： | 选矿 遗传算法 神经网络 预测模型 |
| 文章编号： | 1001-0211(2000)04-0027-06 |
| 修稿时间： | 2000-06-19 |
APPLICATION OF GENETIC NEURAL NETWORK PREDICTION MODEL IN MINERAL PROCESSING |
| |
| JING Guangjun,LIANG Xuemei,LI Songren. APPLICATION OF GENETIC NEURAL NETWORK PREDICTION MODEL IN MINERAL PROCESSING[J]. Nonferrous Metals, 2000, 52(4): 27-32 |
| |
| Authors: | JING Guangjun LIANG Xuemei LI Songren |
| |
| Abstract: | Theoretical basis and integration methods of genetic algorithm (GA) and BP neural network (NN) are analyzed. Based on genetic neural network, the idea of building model is discussed. The genetic neural network models for prediction of ore beneficiability, flotation production targets are built. The methods of original data pre processing, the design of BP neural network, and some parameters selection are studied. Through verification of production examples, the prediction accuracy has achieved over 90%. |
| |
| Keywords: | mineral processing genetic algorithm neural network prediction model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
