欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对高斯过程软测量建模过程中,常用的共轭梯度法难以完成高维协方差矩阵的超参数确定等问题,引入了教与学优化算法（TLBO）对高斯过程的训练过程进行了优化,提高了模型训练速度。并对基本的教与学优化算法做出了相应的改进：一是改进了算法的“学生阶段”;二是增加了“课外阅读阶段”,提高了算法的性能。将这一建模方法应用于甲醇合成转化率测量中,结果表明,该方法具有较好的估计精度。
英文摘要：
During the training process of Gaussian process, the commonly used conjugate gradient method is difficult to handle the hyper-parameter of the high-dimensional covariance matrix. Aiming at this problem,this paper introduced the teaching-learning-based optimization （TLBO） algorithm to accelerate the training process of Gaussian process. However, the basic TLBO has local convergence phenomena in certain conditions. This paper proposed an improved TLBO （ITLBO） algorithm by modifying the learner phase and appending an outside-reading phase to increase the population diversity so as to improve the global searching ability. Finally this method is applied to measure the methanol conversion rate and the results indicate that the proposed method has a good result and a certain value.
同期刊论文项目
同项目期刊论文
A multi-population cultural algorithm with adaptive diversity preservation and its application in am
A hybrid discrete differential evolution algorithm to minimise total tardiness on identical parallel
An improved discrete artificial bee colony algorithm to minimize the makespan on hybrid flow shop pr
A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas p
An iterated greedy algorithm for the single-machine total weighted tardiness problem with sequence-d
A Local and Global Search Combined Particle Swarm Optimization Algorithm and Its Convergence Analysi
An effective discrete artificial bee colony algorithm for flow shop scheduling problem with intermed
An improved Bayesian-based wavelet package denoising method for data reconciliation to coking chemic
Optimal Operation for 3 Control Parameters of Texaco Coal-Water Slurry Gasifier with MO-3LM-CDE Algo
期刊信息
位置：