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Probabilistic neural network playing a simple game.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F03%3A16030121" target="_blank" >RIV/67985556:_____/03:16030121 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Probabilistic neural network playing a simple game.

  • Original language description

    The goal of the paper is to design a probabilistic neural network playing a simple two-player game 'Tic-Tac-Toe'. The game is considered as a problem of a repeating evaluation of preferences of possible moves. Assuming the probabilistic neural network inthe role of the evaluation function we can solve the problem by estimating the probability distribution of advantageous moves. The unknown distribution is estimated in the form of a finite discrete mixture of product components by means of EM algorithm.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Artificial Neural Networks in Pattern Recognition. Proceedings.

  • ISBN

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    132-138

  • Publisher name

    University of Florence

  • Place of publication

    Florence

  • Event location

    Florence [IT]

  • Event date

    Sep 12, 2003

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article