BP网络研究及其在肺癌诊断系统中的应用

以三层BP网络为例,讨论了网络的学习算法,并在VC 6.0语言环境下编制了BP算法程序,在这个基础上建立了基于BP网络的肺癌智能诊断系统,深入研究BP网络在实际应用中的结构设计、参数选择和样本数据的来源,应用含有动量参数的BP算法训练网络,并给出了BP算法动态演化过程的训练调试界面和临床测试界面.目的是用训练好的BP网络来识别肺癌细胞的病变情况,实验表明神经网络能够对细胞图像进行正确的分类,证明了该系统对肺癌诊断具有可行性.

BP Neural Networks and Its Application in Lung Cancer Intelligent Diagnosis System

The learning algorithm of networks is discussed. The programming example of 3 layer BP networks is given with Visual C++6.0 program langue. Based on this model, a lung cancer intelligent diagnosis system is successfully implemented. Furthermore, the paper introduces network's structure design, preferencesand the source of stylebookdatum in factual applications. The ameliorative arithmetic is applied to the study of networks and BP dynamic evolving process is designed. The experiments indicatecell images are recognized and classified by the trained neural network. The study illustrates the system has feasibility and clinical value in lung cancer diagnosis.