The nanocomposite film owning both composite materials and nanomaterial characteristics has been one focus for the academic research.Ī computer automatic detection technology using pattern recognition technology (called GABD) is put forward in this paper, which can realize the detection to element of nanocomposite film. But fewer researches about the detection and identification of nanocomposite film have been done. proposed an optimization method of composite polymer using support vector machine. adopted signal features of acoustic emissions (AEs) to make damage mechanisms on glass/polyester composites it is effective to reduce the dimensionality of acoustic emissions (AEs) by the principal component analysis, where the AEs were classified after clustering by fuzzy -means clustering. used Auto-Associative Neural Network classifier of pattern recognition to do damage diagnosis on a wind turbine blade.
According to the experiment results, it is possible to detect crack of concrete. proposed a cracking mode detection model of concrete structures by using pattern recognition, which is featured by acoustic emission signals and classified by support vector machines. proposed a fault detection and diagnosis (FDD) method of macro fiber composite material, which is used in defect detection to macro fiber composite through combining the wavelet decomposition technique with statistic pattern recognition. took the Hilbert-Huang transform for the acoustic emission (AE) signal as identification future after that damage detection to the composites material can be achieved by the method of pattern classifications. Through using the thoughts of statistic pattern recognition, Hamdi et al. In recent years, pattern recognition and intelligent computation have been used for analyses and identification of composite material in many researches, such as damage detection, performance prediction, and performance analysis of materials. Pattern recognition technology has been widely used in computer vision, biomedical image analysis, optical character recognition, natural language processing, speech recognition, handwriting recognition, biometrics, classification of documents, Internet search engine, credit score, topography, and several other fields. Pattern recognition means that research pattern of automatic processing and identification can be done by computer with mathematical technique, which concludes statistic pattern recognition, syntactic pattern recognition, fuzzy pattern recognition, and neural network pattern recognition. proposed the identification of defective areas in composite materials by the Bivariate EMD Analysis of Ultrasound.
put forward genetic algorithms of the identification of elastic constants of composite materials. from Portugal proposed the identification of material properties of composite plate specimens. It has been an academic focus to detect and identify composite materials. The composite material is composed of two or more different kinds of materials meanwhile, it can also be turned into new performance material by physical and chemical methods. The method proposed can be widely applied to the automatic detection of not only nanocomposite film element but also other nanocomposite material elements. The experimental result shows that this model is superior to the ones of SVM (support vector machine), NN and BayesNet.
So it is possible to identify the element of film according to the Adaboost M1 algorithm of a strong classifier with ten decision tree classifiers. The features of gray level cooccurrence matrix (GLCM) can be extracted from different types of surface morphology images of film after that, the dimension reduction of film can be handled by principal component analysis (PCA). An automatic detection model adopting pattern recognition technology is proposed in this paper it can realize the measurement to the element of nanocomposite film.