Atnaujinkite slapukų nuostatas

El. knyga: Innovative Issues in Intelligent Systems

Edited by , Edited by , Edited by , Edited by
Kitos knygos pagal šią temą:
Kitos knygos pagal šią temą:

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

This book presents a broad variety of different contemporary IT methods and applications in Intelligent Systems is displayed. Every book chapter represents a detailed, specific, far reaching and original re-search in a respective scientific and practical field. However, all of the chapters share the common point of strong similarity in a sense of being innovative, applicable and mutually compatible with each other. In other words, the methods from the different chapters can be viewed as bricks for building the next generation “thinking machines” as well as for other futuristic logical applications that are rapidly changing our world nowadays.

Intelligent Systems in Industry
1(32)
Arthur Kordon
Prediction of the Attention Area in Ambient Intelligence Tasks
33(24)
Jawad Shafi
Plamen Angelov
Muhammad Umair
Integration of Knowledge Components in Hybrid Intelligent Control Systems
57(54)
M.B. Hadjiski
V.G. Boishina
Learning Intelligent Controls in High Speed Networks: Synergies of Computational Intelligence with Control and Q-Learning Theories
111(30)
Georgi M. Dimirovski
Logical Operations and Inference in the Complex s-Logic
141(20)
Vassil Sgurev
Generalized Nets as a Tool for the Modelling of Data Mining Processes
161(56)
Krassimir Atanassov
Induction of Modular Classification Rules by Information Entropy Based Rule Generation
217(14)
Han Liu
Alexander Gegov
Proposals for Knowledge Driven and Data Driven Applications in Security Systems
231(64)
Vladimir S. Jotsov
On Some Modal Type Intuitionistic Fuzzy Operators
295(10)
Krassimir T. Atanassov
Janusz Kacprzyk
Uncertain Switched Fuzzy Systems: A Robust Output Feedback Control Design
305(20)
Vesna Ojleska
Tatjana Kolemishevska-Gugulovska
Imre J. Rudas
Multistep Modeling for Approximation and Classification by Use of RBF Network Models
325
Gancho Vachkov