基于神经网络的机械式停车设备设计分析  

Design Analysis of Mechanical Parking Equipment Based on Nerve Network

作　　者：潘晓光 

机构地区：[1]桂林市特种设备检验所,桂林541004

出　　处：《中国特种设备安全》2015年第10期30-34,共5页China Special Equipment Safety

摘　　要：机械式停车设备是特种设备的一种,设计环节对其安全性起到至关重要的作用。而机械式停车设备具有复杂的钢结构系统,传统的设计方法效率不高。因此,需要一种新的设计方法提高设计准确性。本文运用神经网络强大的非线性映射能力实现映射建模,计算后再应用先进的优化技术,对其各构件截面优化,实现最理想的设计结果并通过实例分析验证了方法的有效性。As a kind of special equipment, the design of mechanical parking device is an important process to its security. Because of the complicated steel structure system of mechanical parking device, the traditional design method is unsuitable with low efficiency, and a new design method with higher design accuracy is needed. Using the nonlinear mapping capability of artificial nerve net, the mapping model is built. Each component section is optimized after calculation. Finally, validity of the new method can be evaluated by some examples.

关 键 词：机械式停车设备 映射模型 神经网络 优化设计 

分 类 号：X941[环境科学与工程—安全科学]