Adaptive Identification of Logging Lithology Based on VPSO-ENN Hybrid Algorithm
文献类型：期刊论文
| 作者 | GUO Jian2; WANG Yuanhan2; LI Yinping1 |
| 刊名 | 西南交通大学学报：英文版
 |
| 出版日期 | 2008 |
| 卷号 | 16.0期号:004页码:329 |
| 关键词 | 记录参数 岩石学 神经网络 计算方法 |
| ISSN号 | 1005-2429 |
| 英文摘要 | Particle swarm optimization （PSO） was modified by variation method of particle velocity, and a variation PSO （VPSO） algorithm was proposed to overcome the shortcomings of PSO, such as premature convergence and local optimization. The VPSO algorithm is combined with Elman neural network （ENN） to form a VPSO-ENN hybrid algorithm. Compared with the hybrid algorithm of genetic algorithm （GA） and BP neural network （GA-BP）, VPSO-ENN has less adjustable parameters, faster convergence speed and higher identification precision in the numerical experiment. A system for identifying logging parameters was established based on VPSO-ENN. The results of an engineering case indicate that the intelligent identification system is effective in the lithology identification. |
| 语种 | 英语 |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/26576]  |
| 专题 | 中科院武汉岩土力学所 |
| 作者单位 | 1.中国科学院武汉岩土力学研究所 2.华中科技大学 |
| 推荐引用方式 GB/T 7714 | GUO Jian,WANG Yuanhan,LI Yinping. Adaptive Identification of Logging Lithology Based on VPSO-ENN Hybrid Algorithm[J]. 西南交通大学学报：英文版,2008,16.0(004):329. |
| APA | GUO Jian,WANG Yuanhan,&LI Yinping.(2008).Adaptive Identification of Logging Lithology Based on VPSO-ENN Hybrid Algorithm.西南交通大学学报：英文版,16.0(004),329. |
| MLA | GUO Jian,et al."Adaptive Identification of Logging Lithology Based on VPSO-ENN Hybrid Algorithm".西南交通大学学报：英文版 16.0.004(2008):329. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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