标题： 利用决策森林和计算智能处理缺失数据 显示英文标题

标题： Missing Data using Decision Forest and Computational Intelligence

摘要： 自编码神经网络被实现以估计缺失数据。 遗传算法被用于网络优化和估计缺失数据。 通过实施最大似然算法，将缺失数据视为随机缺失机制。 通过计算网络预测的均方误差来确定网络性能。 进一步通过实施决策森林对网络进行优化。 然后研究了缺失数据的影响，发现决策森林可以改善结果。 显示英文摘要

摘要： Autoencoder neural network is implemented to estimate the missing data. Genetic algorithm is implemented for network optimization and estimating the missing data. Missing data is treated as Missing At Random mechanism by implementing maximum likelihood algorithm. The network performance is determined by calculating the mean square error of the network prediction. The network is further optimized by implementing Decision Forest. The impact of missing data is then investigated and decision forrests are found to improve the results.