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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Seong Wook Ha Dae-Seong Kang Kee-Hang Kwan Daijin Kim |
| Copyright Year | 1999 |
| Description | Author affiliation: Dept. of Comput. Eng., Dong-A Univ., Pusan, South Korea (Seong Wook Ha) |
| Abstract | Proposes a method for n-rule representation and n-rule inference. A network based on this method takes an architecture of a genetic self organizing map, called an n-rule genetic self-organizing map (n-RGSOM). The paper also provides n-nodes maintenance rules for n-RGSOM and utilizes some criteria for node overlapping prevention generated by the genetic operation. By using these criteria we can avoid critical area errors, and a node can take a single operation per iteration. The simulation results show that the genetic learning algorithm and n-nodes maintenance method developed in the paper is effective. |
| Starting Page | 1781 |
| Ending Page | 1784 |
| File Size | 276681 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780354060 |
| ISSN | 10987584 |
| DOI | 10.1109/FUZZY.1999.790177 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-08-22 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Organizing Genetic algorithms Neural networks Computer architecture Euclidean distance Error analysis Robustness Genetic mutations Pattern recognition Data compression |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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