摘要
在自制脱粒试验装置上,以未脱净率和谷粒损伤率为目标,进行了脱粒试验。通过MATLAB神经网络工具箱,建立了优化设计的数学模型。针对传统的优化方法存在求解过程复杂、寻优过程易陷入局部最优解的问题,应用MATLAB遗传算法工具箱对该模型进行了优化,求得了该脱粒试验装置脱粒元件线速度和脱粒间隙的最佳组合。提出了一条解决脱粒装置性能优化问题的新方法。同时,MATLAB神经网络和遗传算法工具箱的应用解决了其它高级语言繁重的编程任务。
On a self-designed test equipment, The experiment of relationship between thresher s velocities, concave clearance and threshing performance is conducted for paddy rice. The mathematical of the Threshing performance is built with artificial neural network based on experiments. The globe optimum solution is obtained by Matlab genetic algorithm toolbox. A new method for Optimizing of threshing performance is given. Besides, the programming work will be easy by using the Matlab artificial neural network toolbo...
出处
《机械设计与制造》
北大核心
2008年第2期72-74,共3页
Machinery Design & Manufacture
基金
国家自然科学基金资助项目(项目编号:50475123)
关键词
农业装备
脱粒性能
优化
人工神经网络
遗传算法
Agricultural equipment
Threshing performance
Optimizing
Artificial neural network
Genetic algorithm
