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Using neural networks in development of intelligent chatbots (In Ukrainian)

Journal: European Scientific e-Journal (Vol.28, No. 1)

Publication Date:

Authors : ; ;

Page : 96-105

Keywords : recurrent neural network; chatbot; question-and-answer system; root mean square error; machine learning method; intelligent data analysis; рекурентна нейрона мережа; чат-бот;

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Abstract

Recently, there has been a strong increase in the volume of publicly available information. A huge amount of both structured and unstructured data is available to us via the Internet. As a result, there is a problem of finding and obtaining the information we need. This task of searching and processing information is further enhanced by the fact that information on the Internet is constantly changing and updating, it has a high level of dynamics. At every moment of time, new materials and new facts appear. The volume of information arrays is constantly increasing, as a result of which constant accounting of information is required, which is often impossible. The presented article deals with one of the current problems – the development of a prototype of an intelligent chatbot based on the application of artificial neural network algorithms. The need to consider the topic is due to the fact that such a direction as the use of chatbots for various areas of a person's life is gaining popularity. The types of question-and-answer systems and intelligent chatbots are considered within the scope of the work. The use of a recurrent neural network for the implementation of an intelligent chatbot is substantiated. A recurrent neural network learning algorithm has been developed. Selected material for training recurrent neural network. A neural network was built to implement a chatbot.

Last modified: 2024-03-24 01:17:57