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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Jie Li Jun-Liang Liao Rui-Quan |
| Copyright Year | 2010 |
| Description | Author affiliation: Petroleum Engineering College, Yangtze University, Jingzhou Hubei 434023 China (Liu Jie; Li Jun-Liang; Liao Rui-Quan) |
| Abstract | Based on the generalized accumulated generating operation, this paper presents a new grey model, GAGM (1, 1), for the non-equidistant sequence with jump trend and multi-stage. According to the traditional GM (1, 1), the parameter identification of GAGM (1, 1) is introduced. The particle swarm optimization algorithm is used to solve the parameters. At last modeling with the production of gas well shows that the precision of GAGM(1, 1) is higher than other models. So GAGM(1, 1) generalizes grey model's application range and has important theory significance. |
| Starting Page | 304 |
| Ending Page | 308 |
| File Size | 364509 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424462636 |
| e-ISBN | 9787894631046 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-29 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Chinese Association of Aut |
| Subject Keyword | Computational modeling Laboratories Generalized Accumulated Generating Operation Production Predictive models Electronic mail Gas Well Particle swarm optimization Petroleum Particle Swarm Optimization |
| Content Type | Text |
| Resource Type | Article |
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