基于遗传算法优化的BP神经网络的禽病辅助诊断与管理信息系统的设计与实现

发布时间：2018-04-05 02:40

本文选题：禽病　切入点：诊断　出处：《黑龙江畜牧兽医》2017年03期

【摘要】：为了满足基层养殖场对兽医服务的需要,降低养殖场家禽发病率,研究采用B/S结构模式设计遗传算法优化的BP神经网络的禽病辅助诊断与管理信息系统,应用Visual Basic.NET、Asp.NET开发语言与SQL Server 2008数据库等实验工具进行构建,采用遗传算法优化BP神经网络的推理机制进行疾病诊断专家系统的开发,运用遗传算法在全局空间上搜索权值和阈值的最优解,再用BP算法在最优点附近寻求最优值。结果表明:在实际应用中,系统运行稳定,误诊率低,可以提高养殖场管理效率,可用于进一步分析与挖掘养殖场生产数据中的潜在信息,提高利用效率。
[Abstract]:In order to meet the needs of the grass - roots farms to the veterinary services and reduce the incidence of poultry in the breeding farm , a B / S structure model is adopted to design the disease - aided diagnosis and management information system of the BP neural network , which is optimized by genetic algorithm . The optimal solution of the weight and threshold value is searched by using genetic algorithm . The results show that the system is stable in operation , low in error rate , and can improve the management efficiency of the breeding farm , and can be used for further analyzing and mining the potential information in the production data of the breeding farm and improving the utilization efficiency .

【作者单位】：东北农业大学动物医学学院临床兽医系;
【基金】：“十二五”农村领域国家科技计划课题(2015BAD12B05)
【分类号】：TP18;S858.3

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