NEURAL NETWORK PRODUCTIONAL SYSTEM FOR STATE DIAGNOSTICS

Authors

  • Oksana Seraya National Technical University “Kharkiv Polytechnic Institute”
  • Tatyana Katkova Berdiansk University of Management and Business

Keywords:

expert system, productional rules, neural network structures, inference mechanism, objects state prediction

Abstract

Expert system with neural network mechanism of inference is suggested. Procedure has been developed for predicting the state of the object diagnosed by such mechanism.

 

REFERENCES

1. Уотермен Д. Руководство по экспертным системам: Пер. с англ. – М.: МИР, 1989. – 388 с.

2. Нейлор К. Как построить свою экспертную систему: Пер с англ. – М.: Энергоиздат, 1991. – 286 с.

3. Миненкова З. Е. Комбинированный механизм логического вывода байесовой диагностической экспертной системы // Вестник ХПИ. – 2003. – № 6. – С. 69-74.

4. Серая О. В. Модели и информационные технологии оценки и прогнозирования состояния многомерных динамических объектов в условиях нечетких входных данных: Дис. канд. техн. наук: 05.13.06. – Х., 2001. – 251с

Author Biographies

Oksana Seraya, National Technical University “Kharkiv Polytechnic Institute”

Cand. Sc. (Eng), Ass. Prof., the department of economic cybernetics and marketing management

Tatyana Katkova, Berdiansk University of Management and Business

Cand. Sc. (Pedagogic), Ass. Prof., head of the department of mathematics and mathematical methods

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Published

2015-12-02

How to Cite

[1]
O. Seraya and T. Katkova, “NEURAL NETWORK PRODUCTIONAL SYSTEM FOR STATE DIAGNOSTICS”, Works of VNTU, no. 2, Dec. 2015.

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Section

Information Technologies and Computer Engineering

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