Research on Evaluation of Leather Handle Property Based on PNN Neural Network

Zhen Wang; Xun Huang; Ying Huang

doi:10.4028/www.scientific.net/AMR.591-593.2612

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Research on Evaluation of Leather Handle Property...

Research on Evaluation of Leather Handle Property Based on PNN Neural Network

Abstract:

Evaluation of leather handle property is always a focus question all over the world. HEM method is widely used to evaluate leather handle property nowadays. In this easy, PNN neural network was used as a new method to evaluate leather handle property. At first, basic theory about PNN neural network was briefly introduced. Second, PNN neural network mathematical model for leather handle property evaluation was set up after the mechanical characteristics parameters were selected. Process of PNN neural network designing and Matlab program were given. Third, the ability of PNN neural network to classify leather rank was proofed through program training and sample testing. The result is precise and it indicates that PNN neural network mathematical model has important practical and theory value.