Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/953

 Title: Neural-Like Growing Networks in Intelligent System of Recognition of Images Authors: Yashchenko, Vitaliy Keywords: Neural-Like NetworksImages Recognition Issue Date: 2003 Publisher: Institute of Information Theories and Applications FOI ITHEA Abstract: The neural-like growing networks used in the intelligent system of recognition of images are under consideration in this paper. All operations made over the image on a pre-design stage and also classification and storage of the information about the images and their further identification are made extremely by mechanisms of neural-like networks without usage of complex algorithms requiring considerable volumes of calculus. At the conforming hardware support the neural network methods allow considerably to increase the effectiveness of the solution of the given class of problems, saving a high accuracy of result and high level of response, both in a mode of training, and in a mode of identification. URI: http://hdl.handle.net/10525/953 ISSN: 1313-0463 Appears in Collections: Volume 10 Number 3

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