Modeling error PDF optimization based wavelet neural network modeling of dynamic system and its application in blast furnace ironmaking
نویسندگان
چکیده
منابع مشابه
Neural Modeling as a Tool to Support Blast Furnace Ironmaking
This paper describes the development of a hybrid model based on artificial neural network and its industrial application to the ironmaking at Companhia Siderúrgica Nacional (CSN -Volta Redonda/Brazil). The Iron Blast Furnace is highly complex process subject to oscillations in raw material characteristics. A precise model is essential to adjust © 2002 charging and blow conditions to match produ...
متن کاملscour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
Error Modeling in Distribution Network State Estimation Using RBF-Based Artificial Neural Network
State estimation is essential to access observable network models for online monitoring and analyzing of power systems. Due to the integration of distributed energy resources and new technologies, state estimation in distribution systems would be necessary. However, accurate input data are essential for an accurate estimation along with knowledge on the possible correlation between the real and...
متن کاملOptimization of an Automatic Blast Furnace through Integrated Simulation Modeling
The objective of this study was to develop an integrated simulation model of an automatic blast furnace in a full-scale steelmaking factory. The integrated simulation model introduces a set of optimizing alternatives through sensitivity analysis. The simulation model is built by considering all major and detailed operations and interacting systems of the blast furnace workshop. The workshop is ...
متن کاملRemoval of Methylene Blue, Malachite Green and Rhodamine B in a Ternary System by Pistachio Hull; Application of Wavelet Neural Network Modeling and Doehlert Design
Most of previous papers in the field of dye removal used one dye or dyes with nearly separate spectra that simplifies dyes concentration determination by Beer's law at different λmax. In many real situations, dyes with highly overlapped spectra exist and their concentrations can be determined by multivariate analysis methods. In this study, principal component-wavelet neural network (PC-WNN) wa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Neurocomputing
سال: 2018
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2018.01.040