Research on network analysis method for development ability of big data industry in underdeveloped area
Traditional evaluation methods of industrial development ability were mostly lack of objectivity.An evaluation model was proposed by using a BP neural network based on entropy weight.Evaluation index system of big data industry development ability in underdeveloped areas was established.Taking Guizh...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2017-12-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017290/ |
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| author | Jun-xin SHEN Ying-qian CHEN |
| author_facet | Jun-xin SHEN Ying-qian CHEN |
| author_sort | Jun-xin SHEN |
| collection | DOAJ |
| description | Traditional evaluation methods of industrial development ability were mostly lack of objectivity.An evaluation model was proposed by using a BP neural network based on entropy weight.Evaluation index system of big data industry development ability in underdeveloped areas was established.Taking Guizhou industrial development data as samples,entropy weight method was used to determine expected output and compared with the actual output .The experimental results show that the proposed entropy weight-BP evaluation model can optimize error of using single BP network and improve the accuracy and objectivity of evaluation. |
| format | Article |
| id | doaj-art-bd436fbf6a244d3eba8dd14d5d8091e9 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2017-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-bd436fbf6a244d3eba8dd14d5d8091e92025-01-14T07:13:32ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-12-013815315959714181Research on network analysis method for development ability of big data industry in underdeveloped areaJun-xin SHENYing-qian CHENTraditional evaluation methods of industrial development ability were mostly lack of objectivity.An evaluation model was proposed by using a BP neural network based on entropy weight.Evaluation index system of big data industry development ability in underdeveloped areas was established.Taking Guizhou industrial development data as samples,entropy weight method was used to determine expected output and compared with the actual output .The experimental results show that the proposed entropy weight-BP evaluation model can optimize error of using single BP network and improve the accuracy and objectivity of evaluation.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017290/big data industrydevelopment abilityBP modelentropy method |
| spellingShingle | Jun-xin SHEN Ying-qian CHEN Research on network analysis method for development ability of big data industry in underdeveloped area Tongxin xuebao big data industry development ability BP model entropy method |
| title | Research on network analysis method for development ability of big data industry in underdeveloped area |
| title_full | Research on network analysis method for development ability of big data industry in underdeveloped area |
| title_fullStr | Research on network analysis method for development ability of big data industry in underdeveloped area |
| title_full_unstemmed | Research on network analysis method for development ability of big data industry in underdeveloped area |
| title_short | Research on network analysis method for development ability of big data industry in underdeveloped area |
| title_sort | research on network analysis method for development ability of big data industry in underdeveloped area |
| topic | big data industry development ability BP model entropy method |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017290/ |
| work_keys_str_mv | AT junxinshen researchonnetworkanalysismethodfordevelopmentabilityofbigdataindustryinunderdevelopedarea AT yingqianchen researchonnetworkanalysismethodfordevelopmentabilityofbigdataindustryinunderdevelopedarea |