PREDICTING RURAL ENTREPRENEUR’S SUCCESS WITH ARTIFICIAL NEURAL NETWORK(ANN) (CASE STUDY: KERMANSHAH TOWNSHIP)

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KAZEMI RAD Z.; PAPZAN A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Journal of Regional Planning Year:2011 | Volume:1 | Issue:1 Page(s): 17-25

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Title

PREDICTING RURAL ENTREPRENEUR’S SUCCESS WITH ARTIFICIAL NEURAL NETWORK(ANN) (CASE STUDY: KERMANSHAH TOWNSHIP)

Author(s)

KAZEMI RAD Z. | PAPZAN A. | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORKQ1

FORECASTINGQ2

ENTREPRENEURSHIPQ2

Abstract

A growing population and increase of unemployment and are the cause of increase gap between different classes in society. These factors lead to growing unofficial employment rates and decrease in average income, especially in rural areas. The severe problems oblige developing countries to adapt new entrepreneurial strategies.In Iran ENTREPRENEURSHIP is a new concept and little knowledge and skills are in place. The aim of this paper is to forecast the success of rural entrepreneurs using and ARTIFICIAL NEURAL NETWORK case study focused o Kermanshah City, Iran. The sample exists of 68 entrepreneurs and the research data has been collected via census. The software used is MATLAB.The inputs for constructing the neural network are; Innovation, risk, independence, internal locus of control, family contacts, credit possibilities, governmental regulations and education. Internal satisfaction, creating growth and stability of job opportunities and satisfaction of serving society are considered as the targets of the neural network.

Cites

THE ROLE ANALYSIS OF LAND CONSOLIDATION IN IMPROVEMENT OF AGRICULTURAL ENTREPRENEURSHIP CONTEXTS IN KHODABANDE TOWNSHIP (CASE STUDY: VILLAGES OF NOURABAD AGRICULTURAL SERVICES AREA)

References

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APA: Copy

KAZEMI RAD, Z., & PAPZAN, A.. (2011). PREDICTING RURAL ENTREPRENEUR’S SUCCESS WITH ARTIFICIAL NEURAL NETWORK(ANN) (CASE STUDY: KERMANSHAH TOWNSHIP). JOURNAL OF REGIONAL PLANNING, 1(1), 17-25. SID. https://sid.ir/paper/230487/en

Vancouver: Copy

KAZEMI RAD Z., PAPZAN A.. PREDICTING RURAL ENTREPRENEUR’S SUCCESS WITH ARTIFICIAL NEURAL NETWORK(ANN) (CASE STUDY: KERMANSHAH TOWNSHIP). JOURNAL OF REGIONAL PLANNING[Internet]. 2011;1(1):17-25. Available from: https://sid.ir/paper/230487/en

IEEE: Copy

Z. KAZEMI RAD, and A. PAPZAN, “PREDICTING RURAL ENTREPRENEUR’S SUCCESS WITH ARTIFICIAL NEURAL NETWORK(ANN) (CASE STUDY: KERMANSHAH TOWNSHIP),” JOURNAL OF REGIONAL PLANNING, vol. 1, no. 1, pp. 17–25, 2011, [Online]. Available: https://sid.ir/paper/230487/en

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