Invention Grant
- Patent Title: Method and apparatus for characterizing composite materials using an artificial neural network
- Patent Title (中): 使用人造神经网络表征复合材料的方法和装置
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Application No.: US14106074Application Date: 2013-12-13
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Publication No.: US09274036B2Publication Date: 2016-03-01
- Inventor: Muhammad Haris Malik , Abdul Fazal Muhammad Arif
- Applicant: King Fahd University of Petroleum and Minerals
- Applicant Address: SA Dhahran
- Assignee: King Fahd University of Petroleum and Minerals
- Current Assignee: King Fahd University of Petroleum and Minerals
- Current Assignee Address: SA Dhahran
- Agency: Oblon, McClelland, Maier & Neustadt, L.L.P.
- Main IPC: G01N3/30
- IPC: G01N3/30 ; G06N3/08 ; G06F17/50

Abstract:
This invention relates to a method and apparatus for characterizing composite materials, and in particular, to utilizing an artificial neural network for predicting an impact resistance of a composite material. A method for predicting an impact resistance of a composite material in accordance with the present invention includes the steps of designing an artificial neural network including a plurality of neurons, training the artificial neural network to predict the impact resistance by adjusting an output of the plurality of neurons according to sample data and known results of the sample data, inputting data of the composite material into the artificial neural network, and utilizing the artificial neural network to predict the impact resistance of the composite material.
Public/Granted literature
- US20150170022A1 METHOD AND APPARATUS FOR CHARACTERIZING COMPOSITE MATERIALS USING AN ARTIFICIAL NEURAL NETWORK Public/Granted day:2015-06-18
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