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Neurale netwerken in expertsystemen

Kuiper, B. (1995) Neurale netwerken in expertsystemen. Master's Thesis / Essay, Computing Science.

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Abstract

In our modern knowledge intensive society the distribution of knowledge is expensive. It is therefore not strange that we are looking for a less expensive way to accomplish this task. Expert systems could bring a solution. A problem with the development of an expert system is that the desired knowledge is hard to obtain and once obtained strongly subject to changes. This report discusses the use of neural networks to solve these problems. The discussion focusses on a supporting environment. A general architecure is proposed, that defines the required knowledge in a man-machine interaction and is able to regenerate the knowledge by using the data of previous users. With the prototype, developed in Visual-Basic, a number of different implementations can be generated. As an example a student-advisory system is generated. It grasps the student behaviour in a flexible interactive session classifies into groups of problematic situations and passes this information with a documented diagnoses to the student-advisor.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 07:29
Last Modified: 15 Feb 2018 07:29
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/8804

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