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Q-valued neural network as a system of fast identification and pattern recognition

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Q-valued neural network as a system of fast identification and pattern recognition, , , и . (декабря 2004)Binary optimization: A relation between the depth of a local minimum and the probability of its detection., , и . ICINCO-ICSO, стр. 5-10. INSTICC Press, (2007)978-972-8865-82-5.Domain Dynamics in Hopfield Model., , , и . IJCNN, стр. 3249-3253. IEEE, (2006)Application of Potts-Model Perceptron for Binary Patterns Identification., , и . ICANN (1), том 5163 из Lecture Notes in Computer Science, стр. 553-561. Springer, (2008)Binary Optimization: On the Probability of a Local Minimum Detection in Random Search., и . ICAISC, том 5097 из Lecture Notes in Computer Science, стр. 89-100. Springer, (2008)Vector Perceptron Learning Algorithm Using Linear Programming., , и . ICANN (2), том 7553 из Lecture Notes in Computer Science, стр. 197-204. Springer, (2012)On the Probability of Finding Local Minima in Optimization Problems., , и . IJCNN, стр. 3243-3248. IEEE, (2006)Domain Dynamics in Optimization Tasks., и . ICAISC, том 4029 из Lecture Notes in Computer Science, стр. 37-45. Springer, (2006)Distribution Stream of Tasks in Dual-Processor System., и . ICANN (2), том 5164 из Lecture Notes in Computer Science, стр. 150-158. Springer, (2008)Audio-Adaptive Animation from Still Image., , , и . Trans. Comput. Sci., (2013)