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。
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.
出处
《数理医药学杂志》
2007年第2期115-117,共3页
Journal of Mathematical Medicine
基金
江苏省高校自然科学研究计划项目(项目编号:03KJD310224)
徐州医学院院长专项人才科研基金资助项目
关键词
小波变换
神经网络
模塑
顶后
wavelet transform
neural networks
model
prognosis
