We combined fuzzy patternrecognition and fuzzy control in the testing program of a fuzzy ANN. In patternrecognition for each input vector the network provides a spectrum of ″object to a class belongingness″ with r...
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ISBN:
(纸本)0780336461
We combined fuzzy patternrecognition and fuzzy control in the testing program of a fuzzy ANN. In patternrecognition for each input vector the network provides a spectrum of ″object to a class belongingness″ with respect to all classes. Fuzzy controller using some of the components of the same input vector generates a numerical output by simulating an equation. the choice of these components and selection of the equation is carried out by a rule-based expert system the input of which is the spectrum generated by the fuzzy patternrecognition network. A technique that reduces the training times of fuzzy ANNs is also described. this hybrid AI/ANN system is intended for applications where the patternrecognition signals can be used for control. One such application is discussed.
Iris detection is a crucial part of an iris recognition system. One of the main issues in iris segmentation is coping with occlusions that happen due to eyelids and eyelashes. In this paper, only the lower part of the...
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ISBN:
(纸本)0769522866
Iris detection is a crucial part of an iris recognition system. One of the main issues in iris segmentation is coping with occlusions that happen due to eyelids and eyelashes. In this paper, only the lower part of the iris is utilized for recognition. Wavelet based texture features along with a mixed Hamming;harmonic mean distance classifier is used for identification. It is observed that relying in a smaller but more reliable part of the iris, though reducing the net amount of information, improves the overall performance. Experimental results on CASIA database show that the method has a promising performance with an accuracy of more than 99%.
pattern structures propose a direct way to knowledge discovery in data with structure, such as logical formulas, graphs, strings, tuples of numerical intervals, etc., by defining closed descriptions and discovery tool...
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the purpose of this study is to understand differences of walking strategies in elderly gait from the viewpoint of motion criterion and muscle activity pattern. In the context of forward dynamic gait simulation, we ev...
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ISBN:
(纸本)9781450365611
the purpose of this study is to understand differences of walking strategies in elderly gait from the viewpoint of motion criterion and muscle activity pattern. In the context of forward dynamic gait simulation, we evaluated muscle activations and muscle tension forces using 2-D neuro-musculo-skeletal model with muscle weakness in elder subject. Examined criteria are the minimum specific power criterion and the minimum energy consumption rate. Under the former criterion, the muscular activation is elevated to increase the muscle tension and computationally generate an almost same joint motion as in walking of normal subject. Under the latter criterion, the muscle activity level is kept lower than that under the former criterion and the joint motion generated computationally corresponds to that observed in the clinical gait analysis of elderly. therefore, the muscle activations and tensions of aged gait with muscle weakness largely depend on the motion criterion, and the results suggest that the muscle activation pattern different from young adult may cause the characteristic kinematics of the elderly gait.
this paper offers an algebraic explanation for the phenomenon of a new and prosperous branch of evolutionary metaheuristics - "skeletal algorithms". We show how this explanation gives rise to algorithms for ...
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ISBN:
(纸本)9781628410013
this paper offers an algebraic explanation for the phenomenon of a new and prosperous branch of evolutionary metaheuristics - "skeletal algorithms". We show how this explanation gives rise to algorithms for recognition of algebraic theories.
the article presents a new method for motor-related EEG recognition which comprehensively optimizes the frequency-time-space features in a user-specific way. the method creates optimized time and frequency grids and a...
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ISBN:
(纸本)9781424441419
the article presents a new method for motor-related EEG recognition which comprehensively optimizes the frequency-time-space features in a user-specific way. the method creates optimized time and frequency grids and adaptively selects channels for common spatial pattern (CSP) filters to enhance its power. the results show that the optimized features denotes a specific perspective to visualize frequency-time-spatial characteristics of motor-related EEGs, and can be used to achieve high classification accuracy.
this paper proposes a practical, robust and efficient new search and detection scheme to quickly detect and locate any person stuck in their home or underground during any disaster and facilitate the rescue team task ...
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ISBN:
(纸本)9781728180229
this paper proposes a practical, robust and efficient new search and detection scheme to quickly detect and locate any person stuck in their home or underground during any disaster and facilitate the rescue team task and consequently save lives the most important thing a bout this new approach is that the person waiting for the rescue team posts outdoor a rescue sign that they can make with any items they can find around them and should not be coincided with any familiar existing sign. Two detection mehodlogy is use. (1) create a maximum color database with value normalization regonition. (2) patternrecognition will be sue for the sign detection, then evaluation
Traditional identification methods often depend on the validity of training data set and the rationality of parameter selection, which leads to the decrease of availability. A comprehensive recognition method based on...
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the songket recognition is a challenging task. the SIFT and SURF, which are feature descriptors, are considered as potential features for pattern matching. the Songket is a special pattern originally from Indonesia;th...
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ISBN:
(纸本)9789791421195
the songket recognition is a challenging task. the SIFT and SURF, which are feature descriptors, are considered as potential features for pattern matching. the Songket is a special pattern originally from Indonesia;the Songket Palembang is used in this research. One motif in the Songket Palembang may has several different basic patterns. the matching scores, i.e., distance measure and number of keypoint, are evaluated corresponding withthe SIFT and SURF method. SIFT method has been better than SURF method, but SURF has been extremely faster than SIFT.
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