一种快速全局优化的神经网络及其在数据融合中的应用

A FAST GLOBAL OPTIMIZATION NEURAL NETWORK AND ITS APPLICATION TO DATA FUSION

本文将遗传算法的全局性和EM算法的快速性相结合,提出了一种快速全局优化神经网络,并将其应用于数据融合中。理论与实验结果表明该算法在数据融合中具有很强的鲁棒性。

This paper presents a fast global optimization neural network and applies it to the data fusion. This neural network is based on the global property of genetic algorithm and the high speed property of expectation maximization (EM) algorithm. The simulation results show that this neural network is robust in the data fusion.