Soft Sensor Model Based on Improved Elman Neural Network with Variable Data Preprocessing and Its Application
المؤلفون المشاركون
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-13
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
In order to solve the problems of strong coupling, nonlinearity, and complex mechanism in real-world engineering process, building soft sensor with excellent performance and robustness has become the core issue in industrial processes.
In this paper, we propose a new soft sensor model based on improved Elman neural network (Elman NN) and introduce variable data preprocessing method to the soft sensor model.
The improved Elman NN employs local feedback and feedforward network mechanism through context layer to accurately reflect the dynamic characteristics of the soft sensor model, which has the superiority to approximate delay systems and adaption of time-varying characteristics.
The proposed variable data preprocessing method adopts combining Isometric Mapping (ISOMAP) with local linear embedding (LLE), which effectively maintains the neighborhood structure and the global mutual distance of dataset to remove the noises and data redundancy.
The soft sensor model based on improved Elman NN with variable data preprocessing method by combining ISOMAP and LLE is applied in practical sintering and pelletizing to estimate the temperature in the rotary kiln calcining process.
Comparing several conventional soft sensor model methods, the results indicate that the proposed method has more excellent generalization performance and robustness.
Its model prediction accuracy and anti-interference ability have been improved, which provide an effective and promising method for the industrial process application.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhu, Hai-bo& Zhang, Yong. 2018. Soft Sensor Model Based on Improved Elman Neural Network with Variable Data Preprocessing and Its Application. Journal of Sensors،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1200958
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhu, Hai-bo& Zhang, Yong. Soft Sensor Model Based on Improved Elman Neural Network with Variable Data Preprocessing and Its Application. Journal of Sensors No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1200958
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhu, Hai-bo& Zhang, Yong. Soft Sensor Model Based on Improved Elman Neural Network with Variable Data Preprocessing and Its Application. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1200958
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1200958
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر