Assessing the Developing Level of Rural Areas of Central District of Falavarjan: the Application of Artificial Neural Network Analysis

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RASTEGARI HAMID; NOORIPOOR MEHDI

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Journal: ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH) Year:2019 | Volume:12 | Issue:44 Page(s): 179-200

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Title

Assessing the Developing Level of Rural Areas of Central District of Falavarjan: the Application of Artificial Neural Network Analysis

Author(s)

RASTEGARI HAMID | NOORIPOOR MEHDI | Issue Writer Certificate

Keywords

rural developmentQ2

artificial neural networkQ2

self-organization mapQ2

FalavarjanQ1

Abstract

Planning of developmental programs either at macro or micro levels needs to obtain a proper understanding about the differences between rural areas in terms of their infrastructure, social, economic and environmental aspects; so that this understanding can contribute to policymakers and decision-makers to be able to recognize abilities, differences and deprivations of rural areas in order to organize a balanced development in the target areas. Therefore, the aim of this research was to assess the level of development in rural areas of central district of Falavarjan. A survey research method was used in this study. The research population included villages with 20 or more households (including 26 villages) from which 376 households were selected as the research sample based on Cochran Sampling. The researcher constructed questionnaire and the secondary data obtained from the village identification record in 2010 were used to collect data the face validity of which was verified by faculty members of the rural development management department of Yasuj University and its reliability was also verified through calculating Cronbach's Alpha reliability (0. 65 ≤ ∝ ≤ 0. 95). In order to assess and prioritize rural development, 24 indices in four dimensions namely, social-cultural, economic, environmental and physical-infrastructure were used. In order to analyze the data, the data were normalized and then using Artificial-Neural Network (ANN) of multi-layer feed-forward back-propagation, the weight of each rural development index was obtained respectively. Data processing was done using MATLABR2015a and SPSS22 software. The results showed that Jojil, Jowlorestan and Zefreh ranked first to third respectively and Mehrenjan Atrak and Mehrenjan ranked last in terms of rural development. The overall results of this study showed that the rural development is in a relatively favorable situation in the studied villages.

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APA: Copy

RASTEGARI, HAMID, & NOORIPOOR, MEHDI. (2019). Assessing the Developing Level of Rural Areas of Central District of Falavarjan: the Application of Artificial Neural Network Analysis. ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH), 12(44 ), 179-200. SID. https://sid.ir/paper/130680/en

Vancouver: Copy

RASTEGARI HAMID, NOORIPOOR MEHDI. Assessing the Developing Level of Rural Areas of Central District of Falavarjan: the Application of Artificial Neural Network Analysis. ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH)[Internet]. 2019;12(44 ):179-200. Available from: https://sid.ir/paper/130680/en

IEEE: Copy

HAMID RASTEGARI, and MEHDI NOORIPOOR, “Assessing the Developing Level of Rural Areas of Central District of Falavarjan: the Application of Artificial Neural Network Analysis,” ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH), vol. 12, no. 44 , pp. 179–200, 2019, [Online]. Available: https://sid.ir/paper/130680/en

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