V zadachakh tekhnicheskogo i biomeditsinskogo diagnostirovaniya, raspoznavaniya obrazov aktual'noy yavlyaetsya problema avtomatizatsii postroeniya modeley prinyatiya resheniy. Shirokuyu populyarnost' pri eye reshenii poluchili metody intellektual'nogo analiza dannykh, vklyuchayushchie iskusstvennye neyronnye i neyro-nechyetkie seti, yavlyayushchiesya ob"ektom issledovaniya monografii. Dlya izvestnykh metodov postroeniya neyromodeley kharakterna vysokaya zavisimost' ot razmernosti i svoystv obuchayushchey vyborki dannykh, chto obuslavlivaet neobkhodimost' resheniya zadachi analiza svoystv i razrabotki metodov formirovaniya vyborok. Prisushchee neyromodelyam svoystvo variativnosti obuslavlivaet neobkhodimost' vybora nailuchshey s tochki zreniya pol'zovatelya modeli, chto trebuet resheniya zadachi analiza kachestva neyromodeley. Takzhe predstavlyaetsya aktual'noy zadacha analiza vzaimosvyazey kachestva sinteziruemoy neyromodeli ot svoystv obuchayushchey vyborki. Kniga soderzhit rezul'taty original'nykh issledovaniy avtora po resheniyu dannykh zadach i mozhet byt' rekomendovana dlya spetsialistov v oblasti komp'yuternykh nauk i informatsionnykh tekhnologiy, tekhnicheskogo diagnostirovaniya, a takzhe mozhet byt' polezna dlya spetsialistov v oblasti biologii i meditsiny, ekonomiki.