人工神经网络在孕妇脉象判别中的应用

Artificial neural network to determine pregnancy by taking the pulses

以人工神经网络理论为基础,设计了一个用于判别孕妇脉象的神经网络。先对采样数据进行分析处理,形成网络的样本数据库,然后对网络进行训练、仿真,最后再对仿真结果作进一步分析。实验和分析表明,人工神经网络方法在中医脉诊领域具有明显的优越性和广泛的应用前景。

Based on the artificial neural network theory, a neural network is designed to determine pregnancy by taking the pulses. The sample data are firstly analyzed and processed to form a sample database of the network. Then, the network is trained and emulated. Finally, the emulation result is further analyzed. The experiment and analysis show that the artificial neural network method has obvious superiority and extensive prospect of application in the field of pulse -taking diagnosis in Chinese medicine.