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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xia Yu-Hang Teng Huan |
| Copyright Year | 2012 |
| Abstract | This paper Proposes a mean to design the improved BP network based on self-adaptive learning rate and additional momentum, through detailed design and process steps, discussed influence and relationship of the amount of hidden layer neurons, initial weights, learning rate and other parameters in the network design process, analyzed the announcements in training algorithm, conducted the corresponding training and testing of network, obtained a neural network model of simple calculation, fast convergence, high precision error. |
| Starting Page | 109 |
| Ending Page | 111 |
| File Size | 143228 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781467329811 |
| e-ISBN | 9780769548500 |
| DOI | 10.1109/CICN.2012.86 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-03 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Algorithm design and analysis Self-adaptive learning rate Modified BP Network Expected error Neurons Neural networks Initial weights Educational institutions Additional momentum method Convergence Testing |
| Content Type | Text |
| Resource Type | Article |
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