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人工神经网络在手感评定中的应用
引用本文:苏真伟,周肇飞,殷国富.人工神经网络在手感评定中的应用[J].东华大学学报(自然科学版),1997(2).
作者姓名:苏真伟  周肇飞  殷国富
作者单位:四川联合大学轻工业纺织学院!成都610065
基金项目:国家教委留学回国人员辅助科研基金
摘    要:针对现有的手感评定方法在识别准确性,容错性和适应性方面存在的问题,提出了用4个检测模型产生手感信号,并用BP神经网络处理信号的具体方法和步骤.实验证明,BP神经网络具有较好的自适应模式识别能力和容错性.

关 键 词:人工神经网络  BP网  模式识别  联想记忆

The Application of Artificial Neural Networks in Handle Assessment
Su Zhenwei,Zhou Zhaofei,Yin Guofu.The Application of Artificial Neural Networks in Handle Assessment[J].Journal of Donghua University,1997(2).
Authors:Su Zhenwei  Zhou Zhaofei  Yin Guofu
Abstract:Aimed at the problems in recognition accuracy, robustness and adaptability in traditional methods of handle assessment, four test models for handle analysis and the method using BP neural networks to process the handle signals were presented. The experimental data show that BP neural networks are capable of self-adaptive pattern recognition and strong robustness, being a powerful tool for fabric and leather handle assessment.
Keywords:artificial neural networks  pattern recognition  BP neural networks  associative memory
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