Research Article

IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION

Volume: 36 Number: 1 March 1, 2018
  • Selami Demir
  • Neslihan Manav Demir
  • Aykut Karadeniz
  • Hülya Civelek Yörüklü

IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION

Abstract

This paper presents the implementation of an MS Excel tool for backpropagation neural networks in environmental engineering education. A number of test cases, Darcy friction factor and oxygen solubility, were also provided to test the performance of the tool. Relative mean square errors and coefficients of determination for Darcy friction factor were calculated as 1.53*10-3±0.59*10-3 and 0.9983±0.0003 while they were calculated as 4.78*10-4±2.33*10-4 and 0.9998±0.0000 for oxygen solubility. Results suggested that the tool’s performance is satisfactory. The tool produces satisfactorily fast and reliable results and can be used for environmental education in undergraduate/graduate level.

Keywords

References

  1. [1] Henze M., Gujer W., Mino T., Matsuo T., Wentzel M.C., Marais G.v.R., (1999) Activated sludge model No. 2d, Water Sci. Technol. 39(1), 165-182.
  2. [2] Ostace G.S., Critea V.M., Agachi P.Ş., (2011) Cost reduction of the wastewater treatment plant operation by MPC based on modified ASM1 with two-step nitrification/denitrification model, Comput. Chem. Eng. 35, 2469-2479.
  3. [3] Demir S., Saral A., (2011) A new modification to the chemical mass balance receptor model for volatile organic compound source apportionment, Clean-Soil Air Water 39(10), 891-899.
  4. [4] Demir S., Saral A., Ertürk F., Kuzu S.L., Goncaloğlu B.İ., Demir G., (2012) Effect of diurnal changes in VOC source strengths on performances of receptor models, Environ. Sci. Pollut. R. 19(5), 1503-1514.
  5. [5] Demir S., Karadeniz A., Manav-Demir N., (2016) Artificial neural network simulation of cyclone pressure drop: Selection of the best activation function in Iraq, Pol. J. Environ. Stud. 25(5), 1891-1899.
  6. [6] Şamlı R., Sivri N., Sevgen S., Kiremitci V.Z., (2014) Applying artificial neural networks for the estimation of chlorophyll-a concentrations along the Istanbul Coast, Pol. J. Environ. Stud. 23(4), 1281-1287.
  7. [7] Elsayed K., Lacor C., (2012) Modeling and pareto optimization of gas cyclone separator performance using RBF type artificial neural networks and genetic algorithms, Powder Technol. 217, 84-99.
  8. [8] Demir S., Karadeniz A., Manav-Demir N., (2016) Using steepness coefficient to improve artificial neural network performance for environmental modeling, Pol. J. Environ. Stud. 25(4), 1467-1477.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Neslihan Manav Demir This is me
0000-0002-6050-6308
Türkiye

Aykut Karadeniz This is me
0000-0002-9754-9088
Türkiye

Hülya Civelek Yörüklü This is me
0000-0002-3292-7084
Türkiye

Publication Date

March 1, 2018

Submission Date

April 6, 2017

Acceptance Date

December 25, 2017

Published in Issue

Year 2018 Volume: 36 Number: 1

APA
Demir, S., Manav Demir, N., Karadeniz, A., & Civelek Yörüklü, H. (2018). IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION. Sigma Journal of Engineering and Natural Sciences, 36(1), 251-260. https://izlik.org/JA34NA57TD
AMA
1.Demir S, Manav Demir N, Karadeniz A, Civelek Yörüklü H. IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION. SIGMA. 2018;36(1):251-260. https://izlik.org/JA34NA57TD
Chicago
Demir, Selami, Neslihan Manav Demir, Aykut Karadeniz, and Hülya Civelek Yörüklü. 2018. “IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION”. Sigma Journal of Engineering and Natural Sciences 36 (1): 251-60. https://izlik.org/JA34NA57TD.
EndNote
Demir S, Manav Demir N, Karadeniz A, Civelek Yörüklü H (March 1, 2018) IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION. Sigma Journal of Engineering and Natural Sciences 36 1 251–260.
IEEE
[1]S. Demir, N. Manav Demir, A. Karadeniz, and H. Civelek Yörüklü, “IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION”, SIGMA, vol. 36, no. 1, pp. 251–260, Mar. 2018, [Online]. Available: https://izlik.org/JA34NA57TD
ISNAD
Demir, Selami - Manav Demir, Neslihan - Karadeniz, Aykut - Civelek Yörüklü, Hülya. “IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION”. Sigma Journal of Engineering and Natural Sciences 36/1 (March 1, 2018): 251-260. https://izlik.org/JA34NA57TD.
JAMA
1.Demir S, Manav Demir N, Karadeniz A, Civelek Yörüklü H. IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION. SIGMA. 2018;36:251–260.
MLA
Demir, Selami, et al. “IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION”. Sigma Journal of Engineering and Natural Sciences, vol. 36, no. 1, Mar. 2018, pp. 251-60, https://izlik.org/JA34NA57TD.
Vancouver
1.Selami Demir, Neslihan Manav Demir, Aykut Karadeniz, Hülya Civelek Yörüklü. IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION. SIGMA [Internet]. 2018 Mar. 1;36(1):251-60. Available from: https://izlik.org/JA34NA57TD

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/