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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Abrukov, V. Kochakov, V. Smirnov, A. Abrukov, S. Anufrieva, D. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Appl. Phys. & Nanotechnol., Chuvash State Univ., Cheboksary, Russia (Abrukov, V.; Kochakov, V.; Smirnov, A.; Abrukov, S.; Anufrieva, D.) |
| Abstract | From the data to the Knowledge is the main topic of the paper. Knowledge-Based System is the analytical and calculation tool that: contains all relationships between all variables of the object; allows to calculate the values of one part of variables through others; allows to solve direct and inverse problems; allows to predict the characteristics of an object that have not been investigated yet; allows to predict technology parameters to obtain an object with desired characteristics. This paper presents a methodology for a creation of the Knowledge-Based System of metamaterials based on nanofilms of linear-chain carbon by means of artificial neural networks as well as the descriptions in brief of other examples of Knowledge-Based Systems in various fields of basic and applied research such as combustion processes, inverse problems of optics, solar power plant, socio-economic systems, etc. All steps of the creation of the Knowledge-Based System of metamaterials as well as and illustrations are presented on the Web-site of the paper as the autonomous computer modules. Anyone can download the modules and execute research on their own and obtain all graphs which depict relationship between all variables of the concrete metamaterial. |
| Starting Page | 60 |
| Ending Page | 63 |
| File Size | 150400 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467368551 |
| e-ISBN | 9781467368568 |
| DOI | 10.1109/ICAICT.2015.7338517 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-14 |
| Publisher Place | Russia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Experimental data Computational modeling Knowledge based systems Artificial neural networks Predictive models Combustion Metamaterials Multifactor computational models Socioeconomic systems Inverse problems Solar power plant Data models Knowledge-based systems Nanotechnology |
| Content Type | Text |
| Resource Type | Article |
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