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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ulanova, E.A. Nesteruk, D.A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Tomsk Polytech. Univ., Tomsk (Ulanova, E.A.; Nesteruk, D.A.) |
| Abstract | As is well known, neural network (NN) architecture is inspected by biology and they offer interesting properties for thermographic analysis and other fields as well, since they are adaptive and robust. A neural network (NN) is a highly interconnected set of small processors, each of which has a small memorization capability they learned from information submitted to them in the first place. Generally, the network is divided into layers and the parallel nature of NNs make them well suited to work on multiparameter problems. |
| Starting Page | 122 |
| Ending Page | 125 |
| File Size | 1248435 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424416097 |
| DOI | 10.1109/SPCMTT.2008.4897517 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-24 |
| Publisher Place | Russia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Neurons Corrosion Nanoparticles Aluminum Clouds Toxicology Character generation Solids Propulsion |
| Content Type | Text |
| Resource Type | Article |
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