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Research on the Development of Expert Systems Using Artificial Intelligence

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dc.contributor.author Burnashev R.
dc.contributor.author Gabdrahmanov R.
dc.contributor.author Amer I.
dc.contributor.author Vakhitov G.
dc.contributor.author Enikeev A.
dc.date.accessioned 2021-02-25T07:01:42Z
dc.date.available 2021-02-25T07:01:42Z
dc.date.issued 2020
dc.identifier.issn 2194-5357
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/161615
dc.description.abstract © Springer Nature Switzerland AG 2020. This paper presents a study related to the development of logical expert systems using artificial intelligence on the example of diagnosing leukemia. For the development of the system, various approaches to the design of artificial intelligence systems and medical data used in the diagnosis of leukemia were applied. A distinctive feature of the expert system is that a specialist working with the knowledge base can not only get the answer he needs, but also get access to all the knowledge from the knowledge base by asking the necessary questions to the expert system. The methods are based on obtaining information about the characteristics of the software using specialized software that provides automation. Data sets and logical rules that were used for the initial diagnosis of the disease were identified. In developing and analyzing software requirements, a prototype system was developed. This system includes a perceptron and consists of 3 hidden layers. For software development was used programming languages Python, JavaScript and Prolog.
dc.relation.ispartofseries Advances in Intelligent Systems and Computing
dc.subject Expert system
dc.subject JavaScript
dc.subject Numpy
dc.subject PostgreSQL
dc.subject Prolog
dc.subject Psycopg2
dc.subject Python 3
dc.title Research on the Development of Expert Systems Using Artificial Intelligence
dc.type Conference Paper
dc.relation.ispartofseries-volume 1051
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 233
dc.source.id SCOPUS21945357-2020-1051-SID85072825294


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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