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Application of Neural Network in Research for Cushioning Property of Honeycomb Paperboard

Author: WangTianTian
Tutor: LuoGuangLin
School: Xi'an University of Technology
Course: Packaging Engineering
Keywords: Honeycomb Cardboard BP neural network GUI
CLC: TS71
Type: Master's thesis
Year: 2005
Downloads: 138
Quote: 1
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Abstract


This paper studies the neural network theory is applied to the the honeycomb cardboard cushioning properties . Thesis of honeycomb cardboard cushioning characteristics of traditional methods and neural network theory outlined in the introduction , pointing out the irrationality of the traditional method , and discuss the feasibility of neural network approach is applied to the modeling of honeycomb paper extremely buffer characteristics and necessity . Followed by experiments Fengwozhiban dynamic impact properties and vibration transfer characteristics of the experimental data , for example , the establishment of the BP neural network model to reflect the impact properties and vibration characteristics , and with the traditional method of polynomial fitting results compared to prove the neural network method can get more accurate results than the polynomial fitting . Finally MATLAB6.5 provided GUI graphical user interface as a development tool to develop the the the honeycomb paperboard buffer characteristics of system application software based on BP neural network . The software can dynamically based on user input Fengwozhiban shock or vibration transmission characteristics of the experimental data to establish the corresponding BP neural network , to draw maximum acceleration curve - static stress and vibration transmission rate - frequency curve , and every point on the curve shows the coordinate values. The software is user -friendly , simple to operate , and for the honeycomb cardboard researchers a new tool .

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CLC: > Industrial Technology > Light industry,handicrafts > Paper Industry > Basic theory
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