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Обложка Емельянов С.В. Искусственный интеллект и принятие решений
Id: 83879
 
399 руб.

Искусственный интеллект и принятие решений. 2008-Вып.2

URSS. 2008. 76 с. Мягкая обложка. ISBN 978-5-9710-0225-3.


 Содержание

ИНТЕЛЛЕКТУАЛЬНЫЙ ПОИСК ИНФОРМАЦИИ
 Г.С.Осипов, И.В.Смирнов, И.А.Тихомиров

Реляционно-ситуационный метод

поиска и анализа текстов и его приложения

МЯГКИЕ ВЫЧИСЛЕНИЯ
 В.Г.Редько

Модели адаптивного поведения --

биологически инспирированный подход

к искусственному интеллекту

 А.А.Талалаев, И.П.Тищенко, В.П.Фраленко,

В.М.Хачумов

Анализ эффективности применения

искусственных нейронных сетей для решения

задач распознавания, сжатия и прогнозирования

ОБУЧАЮЩИЕ СИСТЕМЫ
 В.М.Трембач

Применение интеллектуальных технологий

к формированию компетенций обучающихся

НАСЛЕДИЕ

 О.П.Кузнецов

о вкладе Т.А.Таран

в развитие искусственного интеллекта

Борис Кушнер

Человек из легенды. Аксель Иванович Берг

 Abstracts


 Abstracts

INTELLIGENT SEARCH

Osipov G.S., Smirnov I.V., Tihomirov I.A. Method of situation-relational search and analysis of natural language texts and it application.

The paper presents methods for situation-relational natural language analysis, based on communicative grammar theory of Russian language and heterogeneous semantic networks theory. The authors mainly focus on the usage of situation-relational analysis method for high-precision texts search in Internet/ Intranet and e-libraries creation. Keywords. Semantic search, situation-relational model, meaning of minimal semantic-syntactic units, semantic network.

SOFT COMPUTING

Redko V.G. Adaptive behaviour models - biological inspired approach to Artificial Intelligence.

The area of investigations "Adaptive Behavior" is characterized. Biologically inspired approach to artificial intelligence is developed in this direction. Typical examples of adaptive behavior models are described. The main attention is paid to models of autonomous self-learning animats (model organisms). The method of reinforcement learning that is often used at autonomous adaptation is characterized. The original project "Animat Brain" is described.

Talalaev A.A., Tishenko I.P., Fralenko V.P., Khachumov V.M. The Efficiency of Artificial Neural Networks Application for Solving the Problems of Recognition, Compression and Prediction.

The article summarizes the experience of development of image recognition software system "PS ANN" based on artificial neural networks (ANN). The real abilities of neural networks to solve problems of image recognition, compression and extrapolation are highlighted. The results of experimental researches on acceleration of parallel tasks computations are presented. Keywords: Artificial neural network, algorithm, recognition, image, efficiency, parallel computation, parallel computing system

LEARNING SYSTEMS

Trembach V.M. Intelligent Technology Application to Form Trainee's Competence Skills.

This article consider methods of presentation, formation and usage of knowledge to form trainee's competence skills. It gives an example of using the integrated way to present the model of trainee's competence. There is an opportunity to estimate the trainee's knowledge and basing on this estimation to develop additional programme for further training. Keywords: competence, model of competence, integrated methods of knowledge presentation, learning objects, estimation of knowledge.

HERITAGE

Kuznecov O.P. T.A.Taran: contribution in Artificial Intelligence progress.>

Kushner Boris A. The Man of a legend. A.I.Berg.

 
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