模拟量子自组织神经网络

Analog Quantum Self-organizing Neural Network

本文模拟实现了测不准原理应用于自组织神经网络的模型,并使用该模型进行缺失值填充的测试,测试结果表明填充误差由传统网络的10.3%改善至7.25%。

A model of uncertainty principle applied to self- organizing map is implemented in this paper, and the model was tested by being applied to the missing value filling. Contrasted to self- organizing map, the test results show that the filling error is improved from 10.3% to 7.25% .