Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Bangladesh is a promising developing country in the world. Key exportable side of Bangladesh is Ready Made Garment (RMG) sector. It has great impact on the development of the Bangladesh. It is a matter of great interest that RMG sector is healthy and handsome due to the contribution of Bangladeshi women from the beginning of the garment industry. Here we have concentrate to predict the women contribution at any time in future. We have collected the data set from Bangladesh Academic of Science and National Academic of Science India. We used K-Nearest Neighbor (K-NN) Algorithm for selecting the desired data set. Besides this KNN, Two clustering methods as K-Medoids and K-means algorithm are used. The Baysian Network (BN) helps to accomplish the proper predictions along with Markov Chain (MC). Finally we have prepared two lists of next promising country of the RMG field and the contribution of women in future development of Bangladesh.
Rownuk Jahan. 2013. \u201cFuture Impact Prediction of Women Empowerment in Ready Made Garment Industry under Computional Methodology\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJMBR-G Volume 13 (GJMBR Volume 13 Issue G6): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 103
Country: Bangladesh
Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary
Authors: Rownuk Jahan, Fahmida Zaman, Md. Sarwar Kamal (PhD/Dr. count: 0)
View Count (all-time): 259
Total Views (Real + Logic): 9440
Total Downloads (simulated): 2514
Publish Date: 2013 08, Fri
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Bangladesh is a promising developing country in the world. Key exportable side of Bangladesh is Ready Made Garment (RMG) sector. It has great impact on the development of the Bangladesh. It is a matter of great interest that RMG sector is healthy and handsome due to the contribution of Bangladeshi women from the beginning of the garment industry. Here we have concentrate to predict the women contribution at any time in future. We have collected the data set from Bangladesh Academic of Science and National Academic of Science India. We used K-Nearest Neighbor (K-NN) Algorithm for selecting the desired data set. Besides this KNN, Two clustering methods as K-Medoids and K-means algorithm are used. The Baysian Network (BN) helps to accomplish the proper predictions along with Markov Chain (MC). Finally we have prepared two lists of next promising country of the RMG field and the contribution of women in future development of Bangladesh.
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