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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jing Liu Ling Feng |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Information Science & technology, Taishan College, Tai'an, Shandong Province 271021, China (Jing Liu; Ling Feng) |
| Abstract | The two-level synthetical evaluating model is presented in this paper based on the factors of substance and people which affect the industrial product model design and the fuzzy feature existed in the mobile phone model evaluation. And a synthetical evaluation system is formed as to mobile phone by the way of the Radial Basis Function neural network. And it gained a good result from evaluating. Experimental results show that it has higher precision and quite good dependability. It not only provides the train of thought and the improving foundation for the designer, ensures the designing quality but also raises the designing efficiency. |
| Starting Page | 1159 |
| Ending Page | 1161 |
| File Size | 93535 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424452668 |
| DOI | 10.1109/CAIDCD.2009.5374980 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Product model evaluation RBF Neural Network Artificial neural networks Educational institutions Product design Mobile handsets Application software Fuzzy sets Information science Radial basis function networks Telephony Computer networks creative conceptual design |
| Content Type | Text |
| Resource Type | Article |
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