A network status evaluation method based on random projection
In recent years，machine learning has been widely used in network management.However，the complexity of the communication network is increasing，nonlinear and uncertain factors in the network make the machine learning more difficult.In order to improve the effect of machine learning，a scheme of artific...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2016-08-01
|
| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016224/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841529913744556032 |
|---|---|
| author | Jinming ZHAO |
| author_facet | Jinming ZHAO |
| author_sort | Jinming ZHAO |
| collection | DOAJ |
| description | In recent years，machine learning has been widely used in network management.However，the complexity of the communication network is increasing，nonlinear and uncertain factors in the network make the machine learning more difficult.In order to improve the effect of machine learning，a scheme of artificial nervous network based on random projection was proposed.The characteristic of such scheme was the introduction of randomness in machine learning and network topology，which took the learning process more adaptability，and achieve faster and more accurate convergence. |
| format | Article |
| id | doaj-art-c01a5131709a4581ad1bc29e78f40a24 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-08-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-c01a5131709a4581ad1bc29e78f40a242025-01-15T03:14:35ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-08-013216416859607920A network status evaluation method based on random projectionJinming ZHAOIn recent years，machine learning has been widely used in network management.However，the complexity of the communication network is increasing，nonlinear and uncertain factors in the network make the machine learning more difficult.In order to improve the effect of machine learning，a scheme of artificial nervous network based on random projection was proposed.The characteristic of such scheme was the introduction of randomness in machine learning and network topology，which took the learning process more adaptability，and achieve faster and more accurate convergence.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016224/machine learningrandom projectionneural networknetwork management |
| spellingShingle | Jinming ZHAO A network status evaluation method based on random projection Dianxin kexue machine learning random projection neural network network management |
| title | A network status evaluation method based on random projection |
| title_full | A network status evaluation method based on random projection |
| title_fullStr | A network status evaluation method based on random projection |
| title_full_unstemmed | A network status evaluation method based on random projection |
| title_short | A network status evaluation method based on random projection |
| title_sort | network status evaluation method based on random projection |
| topic | machine learning random projection neural network network management |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016224/ |
| work_keys_str_mv | AT jinmingzhao anetworkstatusevaluationmethodbasedonrandomprojection AT jinmingzhao networkstatusevaluationmethodbasedonrandomprojection |