Non-linear Chemical Process Modelling and Application in Epichlorhydrine Production Plant Using Wavelet Networks

Huang Dexian; Jin Yihui; Zhang Jie

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Non-linear Chemical Process Modelling and Application in Epichlorhydrine Production Plant Using Wavelet Networks

机译：小波网络的非线性化学过程建模及在环氧氯丙烷生产装置中的应用

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A type of wavelet neural network, in which the scale function is adopted only, is proposed in this paper for non-linear dynamic process modelling. Its network size is decreased significantly and the weight coefficients can be estimated by a linear algorithm. The wavelet neural network holds some advantages superior to other types of neural networks. First, its network structure is easy to specify based on its theoretical analysis and intuition. Secondly, network training does not rely on stochastic gradient type techniques and avoids the problem of poor convergence or undesirable local minima.

机译：提出了一种只采用尺度函数的小波神经网络，用于非线性动态过程建模。它的网络规模大大减小，权重系数可以通过线性算法估算。小波神经网络具有一些优于其他类型神经网络的优势。首先，基于其理论分析和直觉，易于确定其网络结构。其次，网络训练不依赖于随机梯度类型的技术，并且避免了收敛性差或局部极小值不理想的问题。

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《Chinese Journal of Chemical Engineering》 |2002年第4期|p.435-443|共9页
作者
Huang Dexian; Jin Yihui; Zhang Jie;
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正文语种 eng
中图分类化学工业;
关键词
wavelet; neural network; non-linear system identification; hybrid neural network;

机译：小波神经网络;非线性系统识别;混合神经网络;

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1. Non—linear Chemical Process Modelling and Application in Epichlorhydrine Production Plant Using Wavelet Networks [J] . HUANGDexian, ZHANGJie, 等中国化学工程学报：英文版 . 2002,第004期

机译：小波网络的非线性化学过程建模及其在环氧氯丙烷生产装置中的应用
2. Neural network applications in non-linear modelling of (bio)chemical processes [J] . C. Renotte, A. Vande Wouwer, Ph. Bogaerts, Measurement and Control: Journal of the Institute of Measurement and Control . 2001,第7期

机译：神经网络在（生物）化学过程非线性建模中的应用
3. An optimization model for site-wide scheduling of coupled production plants with an application to the ammonia network of a petrochemical site [J] . Wenzel Simon, Misz Yannik-Noel, Rahimi-Adli Keivan, Optimization and Engineering . 2019,第4期

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4. Non-linear modeling of a production process by hybrid Bayesian Networks [C] . Rainer Deventer, Joachim Denzler, Heinrich Niemann European Conference on Artificial Intelligence . 2000

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5. Dynamic Flowgraph Methodology for reliability modelling of networked control systems with application to a nuclear-based hydrogen production plant. [D] . Al-Dabbagh, Ahmad Wail. 2009

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6. Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments—The Wastewater Treatment Plant Control Case [O] . Ivan Pisa, Antoni Morell, Jose Lopez Vicario, 2020

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7. Neural Network Applications in Non-Linear Modelling of (Bio)Chemical Processes [O] . C. Renotte, A. Vande Wouwer, Ph. Bogaerts, 2001

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8. Distributed Computing for Signal Processing: Modeling of Asynchronous Parallel Computation. Appendix C. Fault Tolerant Interconnection Networks and Image Processing Applications for the PASM Parallel Processing Systems [R] . Adams, G. B. 1984

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Non-linear Chemical Process Modelling and Application in Epichlorhydrine Production Plant Using Wavelet Networks

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