Dany osnovnye ponyatiya i opredeleniya neyronnykh setey. Opisany modeli i privedena klassifikatsiya neyronnykh setey. Perechisleny osnovnye oblasti primeneniya neyronnykh setey. Dano opredelenie prognoza i perechisleny situatsii, v kotorykh prognoz neobkhodimo provodit". Tsel"yu prognozirovaniya yavlyaetsya umen"shenie riska pri prinyatii resheniy. V rabote priveden primer prognozirovaniya perevozok passazhirov za mesyats i prognozirovanie tseny na benzin s pomoshch"yu mastera resheniya zadach Statistica Neural Networks (versiya 4.0), kotoryy yavlyaetsya moshchnym instrumentom analiza i prognozirovaniya dannykh. Privedennye primery illyustrirovany i raspisany po shagam, tak chtoby kazhdyy chitatel" mog vosproizvesti prognoz. Rabota prednaznachena dlya shirokogo kruga chitateley, zanimayushchikhsya issledovaniem v biznese, upravlenii i drugikh oblastyakh.