1.
Research on Pridiction and Control of Burning Through Point Based on Support Vector Machines in the Sintering Process
基于支持向量机的烧结终点预报与控制研究
2.
Prediction method of the sinter burn-through point based on the migration law of each sintering zone
基于烧结过程各带迁移规律的烧结终点预报方法
3.
BTP Prediction Based Intelligent Control System and Its Application to the Sintering Process;
基于烧结终点预测的烧结过程智能控制系统及应用研究
4.
Research on Predicting Model of Burning Through Point Using Artificial Neural Network;
基于人工神经网络的烧结终点预测模型研究
5.
An integrated prediction model for burn-through-point in lead-zinc sintering process
铅锌烧结过程烧穿点的集成预测模型
6.
The Analysis and Forcast on the Slag Characteristic of Swirl Combustion Boiler of ZhongNing Power Plant;
中宁电厂330MW旋流燃烧锅炉结渣特性分析及预报
7.
End Temperature Prediction of Molten Steel in LF Based on Genetic Algorithm and BP Neural Network;
基于遗传算法和BP网络的LF炉终点温度预报
8.
Development of Artificial Intelligence Prediction Models for BOF Endpoint Manganese Content and Phosphorus Content;
转炉炼钢智能终点锰、磷预报模型的开发
9.
Study of the End-point Definite Value Track Forecast Model in Matte Converting Process Based on Model Predictive Control Arithmetic;
基于DMC的吹炼终点定值跟踪预报模型研究
10.
The End-point Prediction of EAF Steel making Based on BP Artificial Neural Network;
基于BP神经网络的电弧炉炼钢过程的终点预报
11.
The Technology of Copper-matte Converting Endpoint Prediction Based on Neural Network;
基于神经网络的铜锍吹炼终点预报技术
12.
End-point parameter prediction for electric arc furnace based on grey Markov-support-vector-machines
基于grey Markov-支持向量机的电弧炉终点参数预报
13.
Prediction Model of Final Sulfur Content Based on Artificial Neural Network for Hot Metal Pretreatment at Ansteel
鞍钢铁水终点硫含量神经网络预报模型
14.
Prediction model of end point temperature of molten steel in argon blowing station and its simulation application
吹氩站钢水终点温度预报模型及其仿真应用
15.
Final Sulfur Content Prediction Model Based on Artificial Neural Network for Hot Metal Pretreatment;
基于人工神经网络的铁水预处理终点硫含量预报模型
16.
AN EXPERT SYSTEM FOR CONTROLLING SINTER CHEMICAL COMPOSITION BASED ON ADAPTIVE PREDICTION
基于自适应预报的烧结矿化学成分控制专家系统
17.
Study of Prediction Model of R in Sintering Process Based on Multisensor Data Fusion;
基于多传感器数据融合技术的烧结矿碱度预报模型的研究
18.
Application of Self-adapting Prediction Based Expert Control System in Chemical Components Control of Sintered Mineral
基于自适应预报的专家控制系统在烧结矿化学成分控制中的应用