机译:草酸钴合成过程在线质量预测的最小二乘支持向量回归方法与双重更新
College of Information Science and Engineering, Northeastern University, Shenyang 110004, Liaoning Province, PR China;
College of Information Science and Engineering, Northeastern University, Shenyang 110004, Liaoning Province, PR China,State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110004, PR China;
College of Information Science and Engineering, Northeastern University, Shenyang 110004, Liaoning Province, PR China,State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110004, PR China;
College of Information Science and Engineering, Northeastern University, Shenyang 110004, Liaoning Province, PR China;
Average particle size; Quality prediction; Model performance assessment; Least squares support vector egression; Cobalt oxalate synthesis process;
机译:用于谷氨酸发酵过程在线产品质量预测的多相支持向量回归软传感器
机译:使用偏最小二乘回归,最小二乘支持向量机和高斯过程预测全蛋白质组肽组的离子漂移时间
机译:使用最小二乘支持向量回归和弹性反向传播神经网络在线监测和控制研磨过程中的粒径
机译:基于加权最小二乘支持向量回归的小批量生产过程的质量预测
机译:支持向量回归的特征选择,火炬大小和火炬发射时间预测,以及基于时空测度的隐马尔可夫模型自动预测火炬行为
机译:基于高斯拉普拉斯混合噪声功能的双重方形支持向量复频模型及其在风速预测中的应用
机译:多相支持向量回归软传感器,用于在线产品质量预测谷氨酸发酵过程