000 01857nab a2200313 c 4500
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007 cr |
008 200110|2019 enk s a eng d
024 7 _a10.1088/1757-899X/516/1/012010
_2doi
035 _ato000673230
040 _aRU-ToGU
_brus
_cRU-ToGU
100 1 _aSyryamkin, Vladimir I.
_9103087
245 1 0 _aAdaptive fuzzy neural production network with MIMO-structure for the evaluation of technology efficiency
_cV. I. Syryamkin, S. V. Gorbachev, M. V. Shikhman
504 _aБиблиогр.: 10 назв.
520 3 _aThe paper presents an example of modeling the algorithm operation. The paper analyses the modified Wang and Mendel MIMO-architecture of the adaptive fuzzy neural production network with a logical conclusion. It is distinguished by the automatic generation of a set of fuzzy rules based on a fuzzy decision tree and a hybrid algorithm for parameter adaptation by the neural network (centers, widths of membership functions, and conclusions) starting from the leaf nodes to the root nodes of the tree.
653 _aMIMO, метод пространственного кодирования сигнала
653 _aадаптивные нейро-нечеткие сети
653 _aгибридные алгоритмы
655 4 _aстатьи в журналах
_9745982
700 1 _aGorbachev, Sergey V.
_9471766
700 1 _aShikhman, M. V.
_9496458
773 0 _tIOP Conference Series: Materials Science and Engineering
_d2019
_gVol. 516. P. 012010 (1-6)
_x1757-8981
852 4 _aRU-ToGU
856 4 _uhttp://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000673230
908 _aстатья
999 _c461298