Automatic Generation of Programs

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F11%3A00173261" target="_blank" >RIV/62156489:43110/11:00173261 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Generation of Programs

Popis výsledku v původním jazyce

In this paper we describe two-level grammatical evolution (TLGE), which is a new method, designed to solve prediction tasks on agricultural and economical data. This method belongs to the group of artificial intelligence algorithms together with many other algorithms -- such as artificial neural networks, expert systems, etc. This method is based on the combination of two existing evolutionary algorithms -- grammatical evolution and differential evolution. Both methods are based on genetic algorithms. The paper describes general properties of genetic algorithms, which form the base of the methods used. The core part of the paper is the description of modified grammatical evolution algorithm (grammatical evolution with backward processing) together withthe description of two-level grammatical evolution. Although this method is applicable to different types of problems, this paper focuses solely on applications to non-linear regression problems. The section Applications and methods of e

Název v anglickém jazyce

Automatic Generation of Programs

Popis výsledku anglicky

In this paper we describe two-level grammatical evolution (TLGE), which is a new method, designed to solve prediction tasks on agricultural and economical data. This method belongs to the group of artificial intelligence algorithms together with many other algorithms -- such as artificial neural networks, expert systems, etc. This method is based on the combination of two existing evolutionary algorithms -- grammatical evolution and differential evolution. Both methods are based on genetic algorithms. The paper describes general properties of genetic algorithms, which form the base of the methods used. The core part of the paper is the description of modified grammatical evolution algorithm (grammatical evolution with backward processing) together withthe description of two-level grammatical evolution. Although this method is applicable to different types of problems, this paper focuses solely on applications to non-linear regression problems. The section Applications and methods of e

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Advances in Computer Science and Engineering

ISBN

978-953-307-173-2

Počet stran výsledku

20

Strana od-do

17-36

Počet stran knihy

462

Název nakladatele

InTech

Místo vydání

Rijeka

Kód UT WoS kapitoly

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