节点文献
基于Hopfield神经网络的单级直齿圆柱齿轮减速器优化设计
Optimization design on the single staged cylindrical spur gear reducer based on Hopfield neural network
【摘要】 提出了应用Hopfield神经网络优化原理对圆柱齿轮结构尺寸进行优化设计的方法。算例结果表明,此优化方法效果显著,较其他优化方法提高了优化程度和稳定性,是解决有约束、非线性优化问题的有效方法。
【Abstract】 The methodology for carrying out optimization design on cylindrical gear structure by the use of Hopfield neural network optimization principle was put forward.The result of calculational example showed that this optimization method had a notable effect,and enhanced the extent and stability of optimization when compared with other optimization method and is an effective method for solving the problems of constraint nonlinear optimization.
【基金】 陕西省自然科学基金资助项目(2007E218);西安建筑科技大学科技基金资助项目(JC0711)
- 【文献出处】 机械设计 ,Journal of Machine Design , 编辑部邮箱 ,2009年05期
- 【分类号】TH132.46
- 【被引频次】3
- 【下载频次】223