Through the analysis of the BP network in artificial neural network theory,a simulation model was built to describe the non-linear variation of the physiological indices of wheat at different water level and under different environmental conditions.The model took the photosynthetic active radiation,global solar radiation,air temperature,air relative humidity,wind speed,farmland water levels and flooding lasting as the parameters,and chose the wheat pit test results in 2009 as the study and test samples.The ...
【更新日期】
2011-01-20
【分类号】
S512.1
【正文快照】
水位及环境因素与小麦生理指标之间存在着密切联系,并且它们存在的是非常复杂的非线形关系。通过构建农田水位及环境因素对小麦生理指标影响预测模型,可以通过现有的水位及环境因素得到小麦的各生理指标,以达到节水、高效的目的,具有重要的现实意义。多层神经网络中的BP(Back P
| 
推荐 
点击下列相关研究机构和相关文献作者，可以直接查到这些机构和作者被《中国知识资源总库》收录的其它文献，使您全面了解该机构和该作者的研究动态和历史。
