000			01629nab a2200229 i 4500
001			BPP
003			BPK
005			20160524124705.0
008			151203s2001 pl | | |000 ||eng
040			_cBPK
041			_aeng
044			_aPOL
080			_a004.021
100			_aBIAŁKO, Michał. _d1996 - . _bPolitechnika Koszalińska - Wydział Elektroniki, _cKatedra Inżynierii Komputerowej
245			_aNeurofuzzy adaptive B-spline circuit performance modelling aided by means of genetic algorithm / _cR. Horbowski, Michał Białko.
260			_c2001.
500			_aDane z Informatora o publikowanych wynikach prac naukowo-badawczych w 2001 roku Wydziału Elektroniki.
520			_aAn application of a lattice adaptive neurofuzzy system to circuit performance modelling is presented in the paper. The investigated system makes use of the B-spline membership functions and a structure of the system is determined by means of a genetic algorithm. The presented approach possesses good modelling capabilities and, contrary to non-lattice neurofuzzy approaches, can explore structural dependencies existing in training data supporting us with valuable knowledge about the modelled circuit. This knowledge gives an insight into behaviour of the modelled performance function and makes it possible to reduce a size of the set of circuit variables, to simplify the structure of the model and hence to speed-up its evaluation and identification.
650		0	_aAlgorytmy genetyczne.
773			_iW : _tBulletin of the Polish Academy of Sciences : Technical Sciences. - _g2001, Vol. 49, No. 3, s. 445-459
942			_cART _2UKD
999			_c215 _d215