﻿<?xml version="1.0" encoding="UTF-8"?>
<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>American Journal of Industrial Engineering</journalTitle>
    <publicationDate>2014-02-13</publicationDate>
    <volume>2</volume>
    <issue>1</issue>
    <startPage>10</startPage>
    <endPage>14</endPage>
    <doi>10.12691/ajie-2-1-3</doi>
    <publisherRecordId>AJIE2014213</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">The Use of Artificial Intelligence Methods of Technological Preparation of Engine-Building Production</title>
    <authors>
      <author>
        <name>S.G. Selivanov</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>S.N. Poezjalova</name>
        <email>poezjalova@mail.ru</email>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>O.A. Gavrilova</name>
        <affiliationId>1</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Department of Aviation Technological Systems, Ufa State Aviation Technical University, Ufa, Russia</affiliationName>
    </affiliationsList>
    <abstract language="eng">The ways of application of artificial intelligence methods for optimization of design, perspective and directive technological processes of engine-building production in this publication are shown. The different choices of optimization of technological processes of engine-building production for providing the competitiveness of new products by means of the Elman and Jordan neural networks with elements of fuzzy logic and genetic algorithm are developed.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/ajie/2/1/3/ajie-2-1-3.pdf</fullTextUrl>
    <keywords language="eng">technological processoptimizationartificial intelligencetechnological preparation of production</keywords>
  </record>
</records>