| 小波神经网络在肿瘤预后中的应用研究 |
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| 引用本文： | 王阿明,柳红.小波神经网络在肿瘤预后中的应用研究[J].数理医药学杂志,2007,20(2):115-117. |
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| 作者姓名： | 王阿明 柳红 |
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| 作者单位： | 1. 徐州医学院数理教研室,徐州,221002
2. 徐州医学院病理教研室 |
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| 基金项目： | 江苏省高校自然科学基金;徐州医学院院长专项人才科研基金 |
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| 摘 要： | 介绍了小波神经网络模型,给出了相应的算法和公式。将小波神经网络模型用于肿瘤患者预后研究。结果表明,与传统BP网络相比,小波神经网络具有较快的学习收敛速率,在肿瘤患者预后方面具有良好的应用前景。
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| 关 键 词： | 小波变换 神经网络 模型 预后 |
| 文章编号： | 1004-4337（2007）02-0115-03 |
| 收稿时间： | 2006-07-03 |
| 修稿时间： | 2006年7月3日 |
A Study on Application of Wavelet Neural Networks Model in Prognosis of Neoplasm |
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| Wang Aming, et al.A Study on Application of Wavelet Neural Networks Model in Prognosis of Neoplasm[J].Journal of Mathematical Medicine,2007,20(2):115-117. |
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| Authors: | Wang Aming |
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| Institution: | Department of Math and Physics, Xuzhou Medical College, Xuzhou 221002 |
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| Abstract: | A wavelet neural networks model is introduced. The algorithm and formulas are presented. A study on application of wavelet neural networks model in prognosis of neoplasm is carried out. The results indicate that wavelet neural networks have more rapid learning rate than traditonal BP networks, and the hidden nodes can be constructed adaptively. All these remarkable features enable wavelet neural networks model to be of good prospects in the fields of prognosis of neoplasm. |
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| Keywords: | wavelet transform neural networks model prognosis |
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