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کاربرد شبکه عصبی پرپسترون چند لایه (‏MLP‏) در مکانیابی دفن پسماند جامد شهری با تاکید بر خصوصیات هیدروژئومورفیک‏

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MLP

*

Allen, et al., 1997 Chalmin & Gaillochet, 2009

Email: alireza.ameri91@yahoo.com *

(2)

Chandak,

2010

Noori, et al.,

2008

Sener,

2010

Kontos, et al., 2005

Muluturk & Karaguzel,

2007; Nas, et al., 2010; Komilis, et al., 1999

Kuo, et al., 2002 Sharda, 1994

Reilly & Cooper, 1990

MLP MLP

Ghazi Zade Jalili

Noori

Noori WT-

ANFIS WT-ANN

WT-ANFIS WT-ANN

Noori

PCA

(3)

PCA

PCA

PCA-ANN GT-ANN

ANN Fuzzy ANP

(4)

ETM+

ArcGIS10.2 ETM+2002

ENVI 4.7

Distance

Spatial Analyses ETM+

ArcGIS10.2

MATLAB

(5)

Jalili

Ghazi Zade & Noori, 2008; Huang, et al., 2002;

Kiartzis, et al., 1995 xi

(6)
(7)

i

i N Obc

obc

pre pre

N

RMSE R

Ho, 2002 MLP

BP Noori, et al.,

2010; Noori, et al., 2011 trainbp

trainbpx MLP

trainlm trainbp trainbpx

trainbpx

R2 RMSE

MSE

ANN 1 7-3-1

ANN 2 7-4-1

ANN 3 7-5-1

ANN 4 7-6-1

trainlm ANN 5

7-7-1

ANN 6 7-8-1

ANN 7 7-9-1

ANN 8 7-10-1

ANN 9 7-11-1

ANN 10 7-12-1

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R2 RMSE

MSE

ANN 1 7-3-1

ANN 2 7-4-1

ANN 3 7-5-1

trainbp ANN 4

7-6-1

ANN 5 7-7-1

ANN 6 7-8-1

ANN 7 7-9-1

ANN 8 7-10-1

ANN 9 7-11-1

ANN 10 7-12-1

ANN 1 7-3-1

ANN 2 7-4-1

trainbpx ANN 3

7-5-1

ANN 4 7-6-1

ANN 5 7-7-1

ANN 6 7-8-1

ANN 7 7-9-1

ANN 8 7-10-1

ANN 9 7-11-1

ANN 10 7-12-1

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R2 RMSE

MSE Gomez, et al, 2002

(10)
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trainlm

Ball &

Road, 2005 GIS

MSE RMSE

Azizi Cao Nishanth

AHP Azizi

Nishanth

Cao

Sehnaz

1. Digital elevation mode 2. Multi Layers Perceptron 3. Feed-Forward Backpropagation 4. Sigmoid

5. Mean Squared Normalized Error (MSE) 6. Root Mean Square (RMSE)

7. Random Error (R2) 8. Observed

9. Predicted

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GIS

Fuzzy ANP

Allen, A.R., Dillon, A.M. and Brien, O. M . 1997. Approaches to landfill site selection in Ireland. Engineering Geology and the Environment. Balkema. Rotterdam, 1569-1574.

Azizi, M.D., Zurina, W.W.J., Kev, M. O. and Wan Muhd, A.W. 2008. How GIS can be a useful tool to deal with landfill site selection. International Symposium on Geo informatics for spatial infrastructure. Develop in earth and Allied sciences.

Ball, J.M., and Road, L. 2005. Landfill site selection. Tenth International Waste Management and landfill symposiums.

1250 -1261.

Cao, l., yunhuan, C.H., Jingzhang Xiao, z. and Cui, x. 2006. Application of Gray situation Decision Making Theory in site selection of a waste sanitary landfill, china of university of mining and technology16, 393 -398.

Chandak, S. 2010. Community-based Waste Management and Composting for Climate/Co-benefits Case of Bangladesh (2d) presented at the International Consultative Meeting on expanding Waste Management Services in Developing Countries, 18-19.

Chalmin, P. and Gaillochet, C. 2009. From Waste to Resource, An Abstract of World Waste Survey, Cyclope, Veolia Environmental Services, Edition Economica,France.

Gomez, H., Kavzoglu, T. and Mather, P. 2002. Artificial neural network application in landslide hazard zonation in the VenezuelanAndes. Abstracts of 15th International Conference on Geomorphology, Tokyo, Japan, 23 28.

Ho, S.L., Min, X. and Thong Ngee, G. 2002. A comparative study of neural network and Box-Jenkins ARIMA modeling in time series prodiction, Computers and Industrial Engineering, 371-375.

Huang, H.G., Hwang, R.C. and Hsieh, J.G. 2002. A new artificial intelligent peak power load forecaster based on non-fixed neural networks. Electrical Power Energy Syst 24, 245 250.

Jalili Ghazi Zade, M. and Noori, R. 2008. Prediction of Municipal Solid Waste Generation by Use of Artificial Neural Network: A Case Study of Mashhad. Int. J. Environ. Res 2 (1), 13-22.

Kiartzis, S.K., Bakirtzis, A.G. and Petridis, V. 1995. Short-term load forecasting using neural networks. Electric Power Syst Res33, 1 6.

Komilis, D.P., Ham, R.K. and Stedman, R. 1999. The effect of municipal solid waste pretreatment on landfill behavior: a literature review. Waste Management and Research17, 10 19.

Kuo, J., Chi, C. and Kao, S.A. 2002. decision support system for selecting convenience store location through integration of Fuzzy- AHP and artificial neural network. Computers in Industry47, 199-214.

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Kontos, T., Komilis, P. and Halvadakis, P. 2005. Siting MSW landfills with a spatial multiple criteria analysis methodology. Waste Management25, 818-832.

Mutluturk, M., and Karaguzel, R. 2007. The landfill area quality (LAQ) classification approach and its application in Isparta, Turkey. Environmental and Engineering Geosciences13, 229 240.

Nas, B., Cay, T. and Fatih, I. 2010. Selection of MSW landfill site for Konya, Turkey using GIS and multi-criteriaevaluation.

Environ Monit Assess160, 491-500.

Noori, R., Abdoli, M.A., Ameri Ghasrodashti, A. and Jalili Ghazizade, M. 2008. Prediction of Municipal Solid Waste Generation with Combination of Support Vector Machine and Principal Component Analysis: A Case Study of Mashhad, Environmental Progress & Sustainable Energy 2, 249-258.

Noori, R., Abdoli, M.A., Jalili Ghazizade, M. and Samieifard, R. 2009. Comparison of Neural Network and Principal Component-Regression Analysis to Predict the Solid Waste Generation in Tehran, Iranian Journal of Public Health 38, 74-84.

Noori, R., Abdoli, M.A., Farokhnia, A. and Abbasi, M. 2009. Results uncertainty of solid waste generation forecasting by hybrid of wavelet transform-ANFIS and wavelet transform-neural network, Expert Systems with Applications 6, 9991-9999.

Noori, R., Karbassi, A. and Sabahi, M.S. 2010. Evaluation of PCA and Gamma test techniques on ANN operation for weekly solid waste prediction, Journal of Environmental Management, 767-771.

Noori, R., Khakpour, A., Omidvar, B. and Farokhnia, A. 2010. Comparison of ANN and principal component analysis- multivariate linear regression models for predicting the river flow based on developed discrepancy ratio statistic, Expert Systems with Applications 37, 5856-5862.

Noori, R., Karbassi, A., Mehdizadeh, H., Vasali-Naseh, M. and Sabahi, M.S. 2011. A Framework Development for Predicting the Longitudinal Dispersion Coefficient in Natural Streams using an Neural Network, Environmental Progress and Sustainable Energy 3, 439- 447.

Nishanth,T., Prakash, M.N. and Vijith, H. 2010. Suitable site determination for solid waste disposal using GIS and RS techniques in India, international journal of geometrics and geosciences. 197 -210

Reilly, D.L., and Cooper, L.N. 1990. An overview of neural networks: early models to real world systems. In: Zornetzer, S.F., Davis, J.L., Lau, C. (Eds.), An Introduction to Neural and Electronic Networks. Academic Press, New York, 227 248.

Sener, S., Sener, E. and Karagüzel, R. 2010. Solid Waste Disposal Site Selection with GIS and AHP Methodology: A Case Study in Senirkent-Uluborlu (Isparta) Basin, Turkey, Journal of Environmental Monitoring Assessment10, 1010-1023.

Sehnaz, S., Erhan, S., Bilghan, N. and Remzi, K. 2010. Combining AHP with GIS for landfill site selection. Waste management30, 2037-2041.

Sharda, R. 1994. Neural networks for the MS / OR analyst: An application bibliography. Interfaces24 , 116 130.

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