Federal gosudarstvennoe
uchebnoe predpriyatie
Chair of the System of Artificial Intelligence
Zhukov L.A., Reshetnikova N.V.
Polytechnic Institute of Siberian Federal University
Krasnoyarsk 2007
Uchebnoe posobie on discipline
«Application of neural networks»
for students ukrupnennoy group 260000 - Technology and production
Directions 260500 Polygraphic and upakovochnogo production technology; 230200 Information
systems and technologies; 230100 Informatics
and computer technology
prodovolstvennyx produktov i potrebitelskix tovarov, 230000 - Vychislitelnaya
technics and information technologies
Machine Translated by Google
neyronnyx setey s uchitelem. Postroena formalnaya model teknologii. Ispolzuetsya
hierarchical model teknologii do urovnya realizatsiy
prikladnyx zadach; studentov,
uchashchixsya lyceum i ZPShNI, aspirantov,
prepodavateley i spetsialistov. With additional information it is possible
UDK 004.8.032.26
BBK 32
operatsiy polzovatelya, kotorye predpolagayutsya realizovannymi v
Zhukov L.A., Reshetnikova N.V. Prilojeniya neyronnyx setey: Uchebnoe
Described abstract technology neyrosetevoy obrabotki dannyx dlya
ideal neurocomputer. Dannaya rabota mojet byt polezna dlya
oznakomitsya on the site http://zhukov.org.ru.
posobie
dlya studentov, uchashchixsya litseya i ZPShNI / L. A. Zhukov, N. V.
Reshetnikova. Krasnoyarsk: IPTs KGTU, 2007. 154 p.
resheniya prikladnyx zadach. Rassmatrivaetsya technology on the basis
issledovateley, ispolzuyushchix neyrosetevÿe metody dlya resheniya
2
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Oglavlenie
Vvedenie 1
Obshchie svedeniya o neyronnyx setyax 1.1
Biologicheskie networks of neurons 1.2
Teoreticheskie predposylki 1.3 Obuchenie
optimization elements INS 1.4 1.5 1.6
Neyrokompyuter RESHENIE ZADACA neyronnymi
setyami 2 Technologies neyrosetevoy obrabotki
check box Log neyrosetevoy technology 2.1 2.2
Formalnyy grammar opisaniya No. 3
neyrosetevoy technology
Neyroimitatory 3.1 Osobennosti working technology with
NeuroPro 3.2 Features of working technology with NeuroGenesis 3.3 Features of working
technology with SNN 4 Intellectual tasks. ÿÿÿÿÿÿÿ ÿÿÿÿÿÿÿ 4.1 Rabota Begizardova 4.2 4.3
Rabota Bogdanova 4.4 Forecast forecast in Sosnovoborsk Zaklyuchenie Literature
3
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islovzovanie EVM i drugix sredstv vÿchislitelnoy tehniki, kak na
tehnike doljny razbiratsya v osnovnyx printsipax, osobennostyax,
arhitekturax sredstv
vÿchislitelnoy tehniki, v tom chisle noveyshix, takix
programming and broadcasting methods ». In svoyu ochred, znaniya, poluchennÿe
pri izuchenii dannogo predmeta, mogut byt ispolzovany pri
obucheniya neyrokompyuterov, umenii ispolzovat neyronnÿe seti dlya
etot kurs budet slujit tolko osnovoy dlya znaniy, poluchaemyx v xode
matematika »i osnovoy dlya posleduyushchey professionalnoy deyatelnosti.
ÿÿÿÿÿÿÿ ÿ ÿÿÿÿ: Methods
of teaching neural networks, Assotsiativnÿe INS, Self-
organizing networks or sets of natural classification, Applications of INS for humanities
and linguistics, Basics
zanyatiya po kursu trebuyut obyazatelnogo ispolzovaniya vÿchislitelnoy
projection of neuroimitators. Odnako, bolshinstvo perechislennyx
vvedeniya kursa «Prilojeniya neyronnyx setey» obuslovlena tem, chto on
obrazovatelnomu standartu vysshego professionalnogo obrazovaniya.
specialists
in programming, information technology and
osnovnymi printsipami organizatsii programmnogo i apparatnogo
posobiyax, poetomu v dannom posobie osnovnoe mesto otvedeno neyrosetevoy
izuchenii arhitektury osnovnyx tipov sovremennyx neyroEVM, terminologiyu v dannoy
predmetnoy oblasti, printsipov postroeniya i
Actuality and reasons of introduction. Specialists on vychislitelnoy
programmirovanie »,« Organization of computers and systems »,«
Language theory
Otlichitelnymi chertami dannogo course yavlyaetsya obyazatelnoe
kak neyronnye seti i neyrokompyuternye sistemy. Predpolagaetsya, chto
izuchenii predmetov «Parallelnye sistemy», «Vychislitelnaya
resheniya prikladnyx zadach.
In the structure izuchaemogo course vÿdelyayutsya sleduyushchie osnovnye
auditornyh zanyatiyax, tak i pri samostoyatelnoy rabote. Laboratory
organization of parallel processing of information, Architecture i
samostoyatelnoy work, reading new books and magazines. Neobxodimost
The program uchebnoy discipline disciplines sootvetstvuet Gosudarstvennomu
technical
yavlyaetsya odnim iz neobxodimyx sovremennyx
kursov pri podgotovke
Tselyu nastoyashchego course yavlyaetsya oznakomlenie studentov s
razdelov podrobno rassmatrivaetsya in mnogochislennyx knigax i uchebnyx
data processing.
The course is closely connected and operates on such early disciplines as
"Informatika", "Discrete Mathematics", "Algorithmic Writings"
