| Knowledge Representation in the Intellectual Systems of Business Unit Management |
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Authors: Yekaterina Yu. VINOGRADOVA Dr. Sc. (Econ.), Professor of Statistics, Econometrics and Information Science Dept. Svetlana L. ANDREEVA Sr. Lecturer of Business Informatics Dept. Abstract: The article states the formation principles of the data necessary for the functioning of the intellectual information system of enterprise management, and discusses the methods and technologies of knowledge representation and parameters of technological chains formation. The knowledge areas are classified in the context of neural networks. The authors provide the examples of the knowledge models and the models of neural network training, establish the criteria for assessing effectiveness of neural networks training. The paper also emphasizes the general rules of knowledge representation in a neural network, debates the issues of practical implementation of a priori information in the structure of various neural networks and considers possible structures of representation and construction of neural networks. The diagram of the system using the space of invariant indicators is analyzed. The examples of practical application and use of neural network technology for solving problems with the help of artificial intelligence are given. Keywords: Intellect ual information technology, Information system, Enterprise management For citation: Yekaterina Yu. Vinogradova, Svetlana L. Andreeva. Knowledge Representation in the Intellectual Systems of Business Unit Management. Upravlenets – The Manager, 2016, no. 4(62), pp. 76–80. |
