Comparison of different classification methods on castabilty data coming from steelmaking practice

نویسندگان

  • Marco Vannucci
  • Valentina Colla
چکیده

The problem of the prediction of a critical situation during continuous casting in common steelmaking practice is faced through different traditional soft–computing techniques: the task is to divide the data in two classes corresponding to good and bad casting behaviour respectively. Moreover, a novel algorithm, the Model–based method, is presented. The performance obtained by the different techniques on the real data coming from an important steelmaking industry are compared.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mathematical Simulation for the Effects of Flow Control Devices in a Six- strand Tundish in Continuous Casting of Steel Billet

The method of continuous casting of steel is now often used in the metallurgical industry, due to the increasing demand for the production of high – quality steel. An important device of continuous casting machine is the tundish, in which a stabilized steel flow has a crucial effect on the quality and efficiency conditions of the continuous casting process. In this study fluid flows in a six – ...

متن کامل

Comparison of impact of climate change on building energy-saving design for two different climates; Metropolitans of Moscow and Tehran

In the present study, in order to monitor and project climate change impacts on model of the bioclimatic design, a comparative study was conducted between the Middle East and Eurasia as two different climates. This paper used the basic data from 1990 to 2010, and the CMIP5 climate models have been used to project the climate data (radiation, temperature, wind speed, and relative humidity) from ...

متن کامل

Face Recognition using an Affine Sparse Coding approach

Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image and video. Sparse coding has increasing attraction for image classification applications in recent years. But in the cases where we have some similar images from different classes, such as face recognition applications, different images may be classified into the same class, and hen...

متن کامل

Comparison of Parametric and Non-parametric EEG Feature Extraction Methods in Detection of Pediatric Migraine without Aura

Background: Migraine headache without aura is the most common type of migraine especially among pediatric patients. It has always been a great challenge of migraine diagnosis using quantitative electroencephalography measurements through feature classification. It has been proven that different feature extraction and classification methods vary in terms of performance regarding detection and di...

متن کامل

Investigate Factors Affecting on the Performance of Agricultural Machinery Companies Based on Taxonomy Algorithm

Taxonomy(general), the practice and science of classification of things or concepts, including the principles that underlie such classification. Economic taxonomy, a system of classification for economic activity. The main objective of the study was to find whether financial ratios affect the performance of the Agricultural Machinery companies in Iran. A firm performance evaluation and its comp...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004