Dergiler / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2017 / Cilt: 35 - Sayı: 2

AN MS EXCEL TOOL FOR PARAMETER ESTIMATION BY MULTIVARIATE NONLINEAR REGRESSION IN ENVIRONMENTAL ENGINEERING EDUCATION

Sayfa
265–273
Yayın Tarihi
2017-06-01
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Results suggested that the MS Excel tool produces satisfactorily fast and reliable results, and can be used confidently for optimization works in environmental studies.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This paper presents the implementation of an MS Excel tool for parameter optimization in environmental engineering education.
📊
Temel Bulgular & Veri:Visual Basic for Applications v7.0 were used for implementation of the program.
💡
Sonuç & Katkı:Results suggested that the MS Excel tool produces satisfactorily fast and reliable results, and can be used confidently for optimization works in environmental studies.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Environmental modeling · optimization · multivariate nonlinear regression

Abstract

This paper presents the implementation of an MS Excel tool for parameter optimization in environmental engineering education. Visual Basic for Applications v7.0 were used for implementation of the program. A number of test cases were also provided to test the performance of the tool including the fields of air pollution control, water treatment, and anaerobic treatment. For each test case, calculated coefficients of determination were 0.98 and above. Results suggested that the MS Excel tool produces satisfactorily fast and reliable results, and can be used confidently for optimization works in environmental studies.

🔖

Bu Makaleye Atıf Yap

DEMİR, S., KARADENİZ, A., YÖRÜKLÜ, H. C., DEMİR, N. M. (2017). AN MS EXCEL TOOL FOR PARAMETER ESTIMATION BY MULTIVARIATE NONLINEAR REGRESSION IN ENVIRONMENTAL ENGINEERING EDUCATION. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 35 - Sayı: 2, 265–273. https://ajindex.com/articles/418979

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (15)

  1. Li X., Huang Z., (2017) An inverted classroom approach to educate MATLAB in chemical process control, Educ. Chem. Eng. 19(1), 1-12
  2. Dehghanimohammadabadi M., Keyser T.K., (2017) Intellegent simulation: Integration of SIMIO and MATLAB to deploy decision support systems to simulation environment, Simul. Modell. Pract. Theory 71(45), 45-60
  3. Ku H., Fulcher R., (2012) Using computer software packages to enhance the teaching in Engineering Management Science – Part 2: Programming Techniques, Comput. Appl. Eng. Educ. 20(1), 114-123
  4. Orosa J.A., Oliveira A.C., (2012) Improvement in quality control for applications used by marine engineers, Comput. Appl. Eng. Educ. 20(1), 187-192
  5. Norton T., Tiwari B., (2013) Aiding the understanding of novel freezing technology through numerical modelling with visual basic for applications (VBA), Comput. Appl. Eng. Educ. 21(3), 530-538
  6. Niazkar M., Afzali S.H., (2016) Streamline performance of Excel in stewise implementation of numerical solutions, Comput. Appl. Eng. Educ. 24(4), 555-566
  7. Orosa Garcia J.A., (2011) Programming Languages for Marine Engineers, Comput. Appl. Eng. Educ. 19(3), 591-597
  8. Fernandes S., Orosa J.A., Galan J.J., (2012) A new methodology to teach numerical methods with MS Excel, J. Mar. Res. 9(2), 29-32
  9. Leon S.B., Ulfig R., Blanchard J., (1998) Teaching the numerical solution of ordinary differential equations using Excel 5.0, Comput. Appl. Eng. Educ. 4(2), 117-125
  10. Ferreira E.C., Salced, R., (2001) Can spreadhseet solvers solve demanding optimization problems?, Comput. Appl. Eng. Educ. 9(1), 49-56
  11. Rivas A., Gomez-Acebo T., Ramos J.C., (2006) The application of spreadsheets to the analysis and optimization of systems and processes in the teaching of hydraulic and thermal engineering, Comput. Appl. Eng. Educ. 14(4): 256-268
  12. Demir S., Yetilmezsoy K., Manav N., (2008) Development of a modified Hardy-Cross algorithm for time-dependent simulations of water distribution networks, Fresen. Environ. Bull. 17(8a), 1045-1053
  13. Orosa Garcia J.A., (2009) Programming languages for marine engineers, Comput. Appl. Eng. Educ. 19(3), 591-597
  14. Orosa J.A., Oliveira A.C., (2009) Improvement in Quality control for applications used by marine engineers, Comput. Appl. Eng. Educ. 20(1), 187-192
  15. Demir S., Saral A., Ertürk F., Kuzu L., (2010) Combined use of principal component analysis (PCA) and chemical mass balance (CMB) for source identification and source apporti