BP神经网络在银耳培植环境控制中的应用  

Application of BP Neural Network in Tremella Cultivation Environmental Control

作　　者：叶茂枝[1] 

机构地区：[1]宁德师范学院,福建宁德352100

出　　处：《忻州师范学院学报》2015年第2期17-19,共3页Journal of Xinzhou Teachers University

基　　金：宁德师范学院"服务海西建设"项目(2012H406)

摘　　要：银耳培植是古田县的支柱性产业,但培植专用房环境监控对经验的过度依赖阻碍了其银耳产业的发展。为使银耳培植摆脱对经验的完全依赖,且不过分增加成本投入,设计了BP神经网络模型用于替代人工经验给出环境控制方案。实验证明利用该BP神经网络给出的环境控制方案有较高的正确率,是可行的。Being the pillar industry of Gutian county, Tremella cultivation is hindered by excessive dependence on environmental moni- toring experience of dedicated room for cultivation. Aiming at ridding this entirely dependence, and avoiding the redundant input cost, this thesis designs and trains BP neural network model, which takes the place of artificial experience and suggests one environmental control scheme. Experients show that a higher accuracy is achieved by utilizing environmental control scheme provided by BP neural network.

关 键 词：银耳培植 环境监控 BP神经网络 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]