| ITI əməkdaşlarının elmi işləri - tezis |
| Biblioqrafik təsvir | |
| Ismailova , N.T. Analysis of application of fuzzy neuron networks to structured method of recognition of printed and handwritten symbols / N.T. Ismailova , E.A. Ismayilov // Proceedings Of the International Scientifically and Practical Conference \ . - Almaty, 2008 . - P. 130-134. | |
| Annotasiya | |
| This paper presents a recognition system for fuzzy neuron networks to structured method of recognition handwritten symbols. Main problem in recognition is the choice signs. Here have been used structured calculating features. the sets of these features are fuzzy sets and for each sets were added linguistic variables. Was described Adaptive Neuro-Fuzzy Inference System for recognition symbols. Exept of this system contains dictionary support, has a linguistic program support which is able to define words part-by-part. This method is able to increase the quality of identification system has special dictionary database. For instance if in a word could not be able recognize a symbol, then system compares all the letters of that word within dictionary and in result defines that unknown symbol. | |
| Elektron variant | |
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