Cell Mapping Modeling for Complex Systems Based on ISODATA Algorithm
| Autor: | Ling Li Guo, Mu Shu Wang, Y.D. Wang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
business.industry 0211 other engineering and technologies Complex system Cell mapping Pattern recognition 02 engineering and technology General Medicine 021001 nanoscience & nanotechnology Multispectral pattern recognition 021105 building & construction Artificial intelligence 0210 nano-technology business |
| Zdroj: | Applied Mechanics and Materials. 873:332-336 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.873.332 |
| Popis: | This paper presents a new type of modeling framework for complex dynamical systems based on cell mapping. The systems considered are difficult in modeling by physical principle due to complex mechanism. By the method of data driven, the cell mapping model is constructed and the modeling objective is describing statistical dynamic trajectory for this kind of complex system, which overcome the difficulties found in mechanism modeling. Firstly, the clustering of operation modes is achieved by Self-Organizing Data Analysis Techniques Algorithm (ISODATA). Then, a cell division measure is obtained by the clustering result, which is different from the regular partition in other measures. Meanwhile, each class bound is treated as a cell bound, and hence the dynamic trajectory of complex systems is described by the cell mapping. Finally, a simulated experience illustrates the feasibility of the proposed approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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