分析了遗传算法(GeneticAlgorithm,GA)和人工神经网络(ArtificialNeuralNetwork,ANN)的优缺点,在此基础上,提出了将遗传算法与人工神经网络有机结合的遗传神经网络此外,利用长期进行的恶性肿瘤登记的报告资料,采用遗传神经网络对北京地区的癌症死亡率进行预测结果表明该研究工作是可行的,可以作为预测的一种有效手段 Based on the analysis of the advantages and disadvantages of genetic algorithm (GA) and artificial neural network (ANN), a genetic neural network combining genetic algorithm and artificial neural network is proposed. In addition, the use of long-term malignant tumor Registered the report data, the genetic neural network prediction of cancer mortality in Beijing area results show that the research work is feasible, as an effective means of prediction