Knowledge inference techniques for financial health diagnosis of power grid enterprises
The knowledge inference techniques for financial health diagnosis of power grid enterprises was studied.Combining experts system with neural network,expert system framework was used,finishing storage and representation of partial knowledge with neural network,thus overcoming the limitations of tradi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2018-08-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2018148/ |
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| _version_ | 1841530481542168576 |
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| author | Qiming WAN Yingjun WANG Youhua LI |
| author_facet | Qiming WAN Yingjun WANG Youhua LI |
| author_sort | Qiming WAN |
| collection | DOAJ |
| description | The knowledge inference techniques for financial health diagnosis of power grid enterprises was studied.Combining experts system with neural network,expert system framework was used,finishing storage and representation of partial knowledge with neural network,thus overcoming the limitations of traditional diagnosismethods,organi cally integrating experts’knowledge in the field with self-learning abilities of neutral network.More accurate real-time status detection and intelligent diagnosis for financial health of power grid enterprise were realized. |
| format | Article |
| id | doaj-art-d8508dd3dc4646828300bd88faf0ded2 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2018-08-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-d8508dd3dc4646828300bd88faf0ded22025-01-15T03:04:13ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-08-013418619259594145Knowledge inference techniques for financial health diagnosis of power grid enterprisesQiming WANYingjun WANGYouhua LIThe knowledge inference techniques for financial health diagnosis of power grid enterprises was studied.Combining experts system with neural network,expert system framework was used,finishing storage and representation of partial knowledge with neural network,thus overcoming the limitations of traditional diagnosismethods,organi cally integrating experts’knowledge in the field with self-learning abilities of neutral network.More accurate real-time status detection and intelligent diagnosis for financial health of power grid enterprise were realized.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2018148/financial healthdetection and diagnosisknowledge inferenceexpert systemneural network |
| spellingShingle | Qiming WAN Yingjun WANG Youhua LI Knowledge inference techniques for financial health diagnosis of power grid enterprises Dianxin kexue financial health detection and diagnosis knowledge inference expert system neural network |
| title | Knowledge inference techniques for financial health diagnosis of power grid enterprises |
| title_full | Knowledge inference techniques for financial health diagnosis of power grid enterprises |
| title_fullStr | Knowledge inference techniques for financial health diagnosis of power grid enterprises |
| title_full_unstemmed | Knowledge inference techniques for financial health diagnosis of power grid enterprises |
| title_short | Knowledge inference techniques for financial health diagnosis of power grid enterprises |
| title_sort | knowledge inference techniques for financial health diagnosis of power grid enterprises |
| topic | financial health detection and diagnosis knowledge inference expert system neural network |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000−0801.2018148/ |
| work_keys_str_mv | AT qimingwan knowledgeinferencetechniquesforfinancialhealthdiagnosisofpowergridenterprises AT yingjunwang knowledgeinferencetechniquesforfinancialhealthdiagnosisofpowergridenterprises AT youhuali knowledgeinferencetechniquesforfinancialhealthdiagnosisofpowergridenterprises |