Predicting chain dimensions from an artificial neural network model
文献类型：期刊论文
| 作者 | Zhang, LX; Xia, A; Zhao, DL |
| 刊名 | JOURNAL OF POLYMER SCIENCE PART B-POLYMER PHYSICS
 |
| 出版日期 | 2000-12-01 |
| 卷号 | 38期号:23页码:3163-3167 |
| ISSN号 | 0887-6266 |
| 关键词 | Artificial Neural Network Characteristic Ratio Polymers |
| 英文摘要 | Artificial neural network models are used to investigate polymer chain dimensions. In our model, the input nodes are glass transition temperature (T-g), entanglement molecular weight (M-e), and melt density (rho). The number of nodes in the hidden layer is eight. We found that the relative error for prediction of the characteristic ratio ranges from 0.77 to 7.5% and that the overall average error is 3.57%. Artificial neural network models may provide a new method for studying statistics properties of polymer chains. (C) 2000 John Wiley & Sons, Inc. |
| 语种 | 英语 |
| 出版者 | JOHN WILEY & SONS INC |
| WOS记录号 | WOS:000165258000016 |
| 源URL | [http://ir.iccas.ac.cn/handle/121111/75679]  |
| 专题 | 中国科学院化学研究所 |
| 通讯作者 | Zhang, LX |
| 作者单位 | 1.Zhejiang Univ, Dept Phys, Hangzhou 310028, Peoples R China 2.Chinese Acad Sci, Inst Chem, Ctr Mol Sci, Polymer Phys Lab, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, LX,Xia, A,Zhao, DL. Predicting chain dimensions from an artificial neural network model[J]. JOURNAL OF POLYMER SCIENCE PART B-POLYMER PHYSICS,2000,38(23):3163-3167. |
| APA | Zhang, LX,Xia, A,&Zhao, DL.(2000).Predicting chain dimensions from an artificial neural network model.JOURNAL OF POLYMER SCIENCE PART B-POLYMER PHYSICS,38(23),3163-3167. |
| MLA | Zhang, LX,et al."Predicting chain dimensions from an artificial neural network model".JOURNAL OF POLYMER SCIENCE PART B-POLYMER PHYSICS 38.23(2000):3163-3167. |
入库方式： OAI收割
来源：化学研究所
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