Novel method of flatness pattern recognition via cloud neural network
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| 008 | 210128e20151001xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1445-z |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1445-z | ||
| 245 | 0 | 0 | |a Novel method of flatness pattern recognition via cloud neural network |h [Elektronische Daten] |c [Xiu-ling Zhang, Liang Zhao, Wen-bao Zhao, Teng Xu] |
| 520 | 3 | |a Aiming at the weakness of the existing cloud neural network on training and practicality, a new improved structure of cloud neural network is designed. A hidden layer is added prior to the inverse cloud layer. Threshold level is set to zero and a simple training method is designed. In addition, considering the ignorance of signal randomness and fuzziness in the existing method of the flatness signal recognition, the cloud neural network combines the advantages of the fuzziness and randomness of cloud model and the learning and memory ability of neural network. Thus it is applied in the flatness signal recognition. The simulation contrast results demonstrate that the improved structure is able to identify common defects in shape with higher identity precision. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Neural network |2 nationallicence | |
| 690 | 7 | |a Cloud model |2 nationallicence | |
| 690 | 7 | |a Flatness pattern recognition |2 nationallicence | |
| 690 | 7 | |a Fuzziness |2 nationallicence | |
| 690 | 7 | |a Randomness |2 nationallicence | |
| 700 | 1 | |a Zhang |D Xiu-ling |u Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, 066004, Qinhuangdao, China |4 aut | |
| 700 | 1 | |a Zhao |D Liang |u Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, 066004, Qinhuangdao, China |4 aut | |
| 700 | 1 | |a Zhao |D Wen-bao |u Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, 066004, Qinhuangdao, China |4 aut | |
| 700 | 1 | |a Xu |D Teng |u Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, 066004, Qinhuangdao, China |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/10(2015-10-01), 2837-2843 |x 1432-7643 |q 19:10<2837 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1445-z |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1445-z |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhang |D Xiu-ling |u Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, 066004, Qinhuangdao, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhao |D Liang |u Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, 066004, Qinhuangdao, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhao |D Wen-bao |u Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, 066004, Qinhuangdao, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Xu |D Teng |u Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, 066004, Qinhuangdao, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/10(2015-10-01), 2837-2843 |x 1432-7643 |q 19:10<2837 |1 2015 |2 19 |o 500 | ||