首页> 外文会议>Engineering applications of bio-inspired artificial neural networks >Artificial Neural Network-Based Diagnostic System Methodology
【24h】

Artificial Neural Network-Based Diagnostic System Methodology

机译:基于人工神经网络的诊断系统方法论

获取原文
获取原文并翻译 | 示例

摘要

In this papef we propose a development methodology of ANN-based diagnostic assistance systems, to begin by data collection until the final analysis of the results is obtained. The methodology proposed is divided in three phases: (1) a basic pre-process of the data analysis; (2) to train the ANN, and to evaluate its performance; (3) to study the criterions used by the ANN, and for this process we have used the Trepan algorithm. Finally, we show three medical applications realised by members of our group.
机译:在本论文中,我们提出了一种基于ANN的诊断辅助系统的开发方法,首先要进行数据收集,直到对结果进行最终分析为止。建议的方法分为三个阶段:(1)数据分析的基本预处理; (2)训练人工神经网络并评估其性能; (3)研究了人工神经网络使用的准则,为此,我们使用了Trepan算法。最后,我们展示了小组成员实现的三种医疗应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号