.png){kind=icon}
返回
Soft Sensor Development Using Improved Whale Optimization and Regularization-Based Functional Link Neural Network
.png){kind=icon}
PRE
AI
DOI：10.1021/acs.iecr.0c03839.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Recently, data-driven soft sensor has been a popular research focus in the field of process system engineering. Modern industrial processes tend to be large scale, highly complicated, and nonlinear. As a result, process data gradually become high-dimensional. Therefore, it is difficult to achieve acceptable modeling accuracy using basic data-driven methods. To handle this limitation, a novel data-driven model using improved whale optimization and regularization-based functional link neural network (FLNN) is proposed. In the proposed model, regularization is first used to overcome the problems of structure risk and overfitting during the training phase of FLNN, thereby improving its ability to deal with the complex process data; to simplify the calculation, a radial basis function (RBF)-based kernel is selected to reconstruct the expanded inputs; meanwhile, an improved whale optimization algorithm (WOA) is utilized to optimize the parameters of the regularization and RBF kernel. Finally, novel regularized FLNN based on WOA and RBF kernel (WOA-RBFRFLNN) can be developed. To verify the modeling performance of WOA-RBFRFLNN, a case study on the purified terephthalic acid (PTA) industrial process is conducted. Simulation results show that the presented WOA-RBFRFLNN model can achieve high accuracy, indicating that the feasibility and effectiveness of the proposed WOA-RBFRFLNN are confirmed.
Keyword:
PARTICLE SWARM OPTIMIZATION
MULTIPLE LINEAR-REGRESSION
MODEL-PREDICTIVE CONTROL
BACK-PROPAGATION
ALGORITHM
PRICE
ANN
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
3.9
论文数:
4.0W
被引数:
9.6W
机构
引用论文
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables.png)
ISA TRANSACTIONS
ISA TRANSACTIONSIF6.5
PREAI
分享收藏Data-Based, Fault-Tolerant Model Predictive Control of a Complex Industrial Dearomatization Process
OAAI
OAAI分享收藏Data driven soft sensor development for complex chemical processes using extreme learning machine使用极限学习机的数据驱动的复杂化学过程软传感器开发
PREAI
分享收藏分享收藏
查看更多内容