this paper describes the efforts of SUST-ALT (Sudan University of Science and Technology- Arabic Language Technology group) research group towards building datasets for research in recognition of Arabic handwritten. T...
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this paper belongs to neural technology and patternrecognition. It contains the description learning algorithm of back propagation. the most we pay our attention on programming algorithm.
ISBN:
(纸本)9781424445165
this paper belongs to neural technology and patternrecognition. It contains the description learning algorithm of back propagation. the most we pay our attention on programming algorithm.
the orbits of shaft centerline are pieces of indispensable information for the rotating machinery fault diagnosis. the shape of orbits of shaft centerline reflects the working state of rotating machinery since each sh...
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ISBN:
(纸本)9780972741286
the orbits of shaft centerline are pieces of indispensable information for the rotating machinery fault diagnosis. the shape of orbits of shaft centerline reflects the working state of rotating machinery since each shape corresponds to a special fault type. thus, shaft orbit recognition plays an important role in the fault diagnosis. An automatic orbit patternrecognition method is proposed in this paper. the application of neural network is helpful to identify the orbits of shaft centreline. An effort has been made to study the patternrecognition ability of RBF and ANN for fault detection without employing any pre-processing technique. Random noise has also been mixed to study the robustness of the neural network models. It is found that the neural network model has a strong capability in patternrecognition for fault diagnosis with high precision. this paper presents a comparison between multilayer perceptron neural network (MLP NN) and Radial basis feed-forward neural network (RBF NN) techniques for identifying the shape of orbits of shaft centerline for detection of fault in an induction motor.
this paper proposed a new method Based on curvature Based LBP feature to recognize 3D facial expression automatically. 3D facial expression images are described by means of four images which gray level are the value o...
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the degradation of equipment is characterized by randomness and complexity. For some equipment, there are many degradation stages, and the degradation law of each stage is quite different. Aiming at the problem of mul...
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this paper proposes a new method, named Local Kernel Mapping (LKM), for object recognition. LKM is proposed to capture the nonlinear local relationship by using the kernel function. Different from traditional kernel m...
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作者：
Imiya, ATatara, KChiba Univ
Inst Media & Informat Technol Inage Ku Chiba 2638522 Japan Chiba Univ
Sch Sci & Technol Inage Ku Chiba 2638522 Japan
In this paper, we define clusters and the boundary curves of clusters in a random point set using the Delaunay triangulation and the principal curve analysis. the principal curve analysis is a generalization of princi...
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ISBN:
(纸本)3540225706
In this paper, we define clusters and the boundary curves of clusters in a random point set using the Delaunay triangulation and the principal curve analysis. the principal curve analysis is a generalization of principal axis analysis, which is a standard method for data analysis in patternrecognition.
A method of patternrecognition of tool wear based on Discrete Hidden Markov Models (DHMM) is proposed to monitor tool wear and to predict tool failure. At the first FFT features are extracted from the vibration signa...
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ISBN:
(纸本)9781424410651
A method of patternrecognition of tool wear based on Discrete Hidden Markov Models (DHMM) is proposed to monitor tool wear and to predict tool failure. At the first FFT features are extracted from the vibration signal and cutting force in culling process, then FFT vectors are presorted and coded into code book of integer numbers by SOM, and these code books are introduced to DHMM for machine learning to, build up 3-HMMs for different tool wear stage. And then, pattern is recognised by using maximum probability. Finally the results of tool wear recognition and failure prediction experiments were presented and shown that the method proposed is effective.
Face is one of the popular and easiest ways of biometric to distinguish the individual identity. It has various applications in computer vision such as imposing security, entertainment, forensic, finding missing perso...
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An integrated automatic target recognition processor utilizing a feature extraction wavelet preprocessor and a patternrecognition neuroprocessor is introduced. Feature extraction of orientation and scale information ...
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ISBN:
(纸本)0819415413
An integrated automatic target recognition processor utilizing a feature extraction wavelet preprocessor and a patternrecognition neuroprocessor is introduced. Feature extraction of orientation and scale information using a Morlet wavelet is introduced. this feature extraction wavelet preprocessor is used for pre-attentive vision such that the orientation, scale, and location feature are effectively extracted. this wavelet preprocessor will enable the neuroprocessor to dynamically focus its vision on incoming targets based on their known features. this will result in higher discrimination and lower false alarm rate. the theoretical analysis of the orientation and scale selectivity using a Morlet wavelet is provided. Experimental demonstrations of wavelet preprocessing for feature extraction are also provided.
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