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基于补偿模糊神经网金属塑性变形阻力影响因子研究
The research of affect gene of metal plastic shape resistance on compensate fuzzy nerve net control
【摘要】 提出了金属塑性变形阻力影响因子评测理论,并基于补偿模糊控制思想将金属塑性变形阻力影响因子引入评测方程,建立了补偿模糊神经网络金属塑性变形阻力影响因子模型,结合目标样本,给出了金属塑性变形阻力影响因子具体实例的评测结果。结果表明:补偿模糊神经网络能够从初始正确定义或错误定义的模糊规则进行金属塑性变形阻力影响因子评测训练,基于补偿模糊神经网络评测金属塑性变形阻力影响因子全局误差0.025%。222222
【Abstract】 The evaluation theory of resistance affect gene of metal plastic shape is proposed.The evaluated equation on compensate fuzzy control is introduced into resistance affect gene,the model of resistance affect gene of metal plastic shape on compensate fuzzy control is built.The goal specimen is combined with the special predict results of resistance affect gene.The resistance affect gene train of correct or error define on compensate fuzzy control is showed.The total error of resistance affect gene on compensate fuzzy control is 0.025 percent.
【Key words】 Metal; Plastic shape; Compensate fuzzy nerve net control; Resistance; Affect gene;
- 【文献出处】 机械设计与制造 ,Machinery Design & Manufacture , 编辑部邮箱 ,2011年04期
- 【分类号】TG113.253;TP183
- 【被引频次】2
- 【下载频次】72