MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-26
Часть–6_ Май –2025
335
THE WORKING PRINCIPLE OF ARTIFICIAL NEURAL NETWORKS AND
THEIR ROLE IN SOCIETY.
Khushvaktov Bardosh Abdikodir ugli,
Karshi State Technical University,
Student of the Department of Telecommunication Technologies
Annotation. The article analyzes the principle of operation of artificial neural
networks and their role in society. Artificial neural networks are technologies that
model the activity of the human brain and are widely used in complex data processing,
decision-making and forecasting. The article explains the basic principle of operation
of artificial neural networks, namely the process of processing and learning incoming
data through neurons. It discusses how artificial neural networks are used in various
areas of society - economics, healthcare, education, transport and everyday life - and
their social impact.
Key words: Artificial neural networks, human brain activity, model,
technologies, complex data processing, decision-making, forecasting, economics,
healthcare, education, transportation, social impact.
Аннотация. Аннотация. В статье анализируется принцип работы
искусственных нейронных сетей и их роль в обществе. Искусственные
нейронные сети — это технологии, моделирующие деятельность человеческого
мозга и широко используемые в сложной обработке данных, принятии решений
и прогнозировании. В статье объясняется основной принцип работы
искусственных нейронных сетей, а именно процесс обработки и обучения
входящих данных посредством нейронов. Обсуждается, как искусственные
нейронные сети используются в различных областях общества — экономике,
здравоохранении, образовании, транспорте и повседневной жизни — и их
социальное влияние.
Ключевые слова: Искусственные нейронные сети, деятельность
человеческого мозга, модель, технологии, сложная обработка данных, принятие
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-26
Часть–6_ Май –2025
336
решений,
прогнозирование,
экономика,
здравоохранение, образование,
транспорт, социальное влияние.
Their positive impact on society and the ethical and social problems that arise
with the development of technology are discussed. The article highlights the
importance of artificial neural networks in the development of society and the need for
their careful use.
Artificial neural networks (ANNs) are one of the key technologies in the field
of machine learning and artificial intelligence, and are systems that model the
functioning of the human brain. These networks work in a similar way to the working
principle of human brain neurons, that is, incoming information is transmitted through
neurons, processed and results are output. In recent years, ANNs have begun to play
an important role in technological developments and social processes. Their role in
society is very wide, and major changes have occurred in a number of areas, from
economic development to medicine, education and creating conveniences in everyday
life. This article examines the working principle, development and role of ANNs in
society, as well as their social and ethical impact.
Working Principle of ANNs. An ANN is a system consisting of many neurons
that are interconnected and learn by processing some information. The main parts of
the network are:
Neurons: In an artificial neural network, each neuron receives input signals,
processes them, and produces output signals. Neurons are made up of many layers.
Input layers: The network begins to receive input data. In this layer, the data
necessary for the network is input.
Hidden layers: In this layer, neurons process the data. In this process, neurons
identify and learn relationships between data.
Output layers: The results obtained through the hidden layers become the final
output, which is presented to the user as a decision or prediction.
Training process: The neural network detects errors and adjusts weights during
the training process. This process increases the efficiency of the network by analyzing
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-26
Часть–6_ Май –2025
337
the data. During the training process, the network adapts and learns based on the
existing data.
The training process of an artificial neural network is often carried out using
the "gradient descent" algorithm. With this algorithm, the neural network updates the
weights to reduce errors and achieve the best model.
Role of Artificial Neural Networks in Society. Artificial neural networks are
used in many areas of modern society, and their role is increasing day by day. The
following is a review of the impact of artificial neural networks in some key areas.
Economy and Industry. Artificial neural networks play an important role in
increasing efficiency and developing automation processes in the economy. They
provide automatic decision-making in production systems and management. For
example:
Automated manufacturing: Neural networks help in controlling and optimizing
production processes. Robotic systems effectively control production processes using
artificial neural networks.
Forecasting: Economic analysts and investors use artificial neural networks to
forecast the market, determine prices, and manage risks.
Credit and financial system: Banks and financial institutions use neural
networks to process credit applications, detect fraud, and develop forecasts about
customers.
Healthcare. Artificial neural networks are revolutionizing healthcare. The
application of networks in medicine is particularly important in improving diagnostics
and treatment. For example:
Disease detection: Neural networks are used to analyze medical images (X-
rays, MRIs, CT scans). They are effective in detecting diseases, including cancer, at an
early stage.
Personalization: Networks analyze patient data and help develop personalized
treatment plans.
Pharmaceuticals: Artificial neural networks are used to speed up the process of
creating new drugs and conducting clinical trials for them.
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-26
Часть–6_ Май –2025
338
Education. Artificial neural networks in education help individualize the
learning process. They are used in:
Personalized learning: Neural networks can provide students with educational
programs tailored to their individual needs.
Analysis and Assessment: Analyzing student learning outcomes, identifying
their strengths and weaknesses, and providing personalized support.
Educational Platforms: Online learning systems (Coursera, edX, Khan
Academy) are trying to improve the interactive experience of users by using artificial
neural networks.
Transportation and Logistics. Transportation and logistics systems also make
extensive use of artificial neural networks. They include:
Autonomous Vehicles: Vehicles such as cars and drones use artificial neural
networks to choose their own paths, detect obstacles, and navigate safely.
Traffic Management: Neural networks help manage the traffic network across
cities and regions, which reduces traffic congestion and helps save time.
Artificial Neural Networks in Everyday Life. Artificial neural networks are also
used for various purposes in everyday life.
Personal Assistants: Artificial assistants such as Siri, Google Assistant, and
Alexa help users with everyday tasks, such as making calls, creating reminders,
listening to music, and more.
Advertising and Marketing: Social media and online platforms use artificial
neural networks to deliver personalized ads and content to users.
Artificial neural networks are a technology that is pervasive in society and is
revolutionizing many areas. From economic development to healthcare, education,
transportation, and everyday life, these networks are benefiting society. However,
along with their development, ethical and social issues are also emerging. Artificial
neural networks need to be managed and controlled to ensure their effective and safe
use.
References:
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-26
Часть–6_ Май –2025
339
1.
Daminova B. E. et al. THE MAIN ADVANTAGES, PROBLEMS AND
DISADVANTAGES OF USING MULTIMEDIA IN TEACHING FOREIGN
LANGUAGES //Экономика и социум. – 2024. – №. 5-1 (120). – С. 189-192.
2.
Даминова Б. Э. и др. ОБРАБОТКА ВИДEОМАТEРИАЛОВ ПРИ
РАЗРАБОТКE ОБРАЗОВАТEЛЬНЫХ РEСУРСОВ //Экономика и социум. –
2024. – №. 2-2 (117). – С. 435-443.
3.
Daminova B. E. GAUSS AND ITERATION METHODS FOR SOLVING A
SYSTEM OF LINEAR ALGEBRAIC EQUATIONS //Экономика и социум. – 2024.
– №. 2 (117)-1. – С. 235-239.
4.
Daminova B. E., Oripova M. O. METHODS OF USING MODERN
METHODS BY TEACHERS OF MATHEMATICS AND INFORMATION
TECHNOLOGIES IN THE CLASSROOM //Экономика и социум. – 2024. – №. 2
(117)-1. – С. 256-261.
5.
Daminova B. E. et al. USE OF ELECTRONIC EDUCATIONAL
RESOURCES IN THE PROCESS OF TEACHING A FOREIGN LANGUAGE
//Экономика и социум. – 2024. – №. 5-1 (120). – С. 230-232.
6.
Daminova B. E. et al. USING COMPUTER PRESENTATIONS IN
TEACHING FOREIGN LANGUAGES //Экономика и социум. – 2024. – №. 5-1
(120). – С. 211-215.
7.
Daminova B. E. et al. USING DIGITAL TECHNOLOGIES IN FOREIGN
LANGUAGE LESSONS //Экономика и социум. – 2024. – №. 5-1 (120). – С. 226-
229.
8.
Daminova B. E., Bozorova I. J., Jumayeva N. X. FORMATION OF TEXT
DATA PROCESSING SKILLS //Экономика и социум. – 2024. – №. 4-2 (119). – С.
110-119.
9.
Daminova B. E. et al. USE OF ONLINE ELECTRONIC DICTIONARIES IN
ENGLISH LANGUAGE LESSONS //Экономика и социум. – 2024. – №. 5-1 (120).
– С. 193-196.
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-26
Часть–6_ Май –2025
340
10.
Daminova B. E. et al. ADVANTAGES OF USING MULTIMEDIA
RESOURCES IN ENGLISH LANGUAGE LESSONS //Экономика и социум. –
2024. – №. 5-1 (120). – С. 207-210.
11.
Daminova B. E. et al. SCIENTIFIC AND METHODOLOGICAL SUPPORT
OF EDUCATIONAL INFORMATION INTERACTION IN THE EDUCATIONAL
PROCESS BASED ON INTERACTIVE ELECTRONIC EDUCATIONAL
RESOURCES: USING THE EXAMPLE OF TEACHING ENGLISH //Экономика и
социум. – 2024. – №. 5-1 (120). – С. 233-236.
12.
Daminova B. E. et al. THE ROLE AND FEATURES OF THE USE OF
INFORMATION TECHNOLOGY IN TEACHING A FOREIGN LANGUAGE
//Экономика и социум. – 2024. – №. 5-1 (120). – С. 184-188.
13.
Daminova B. E. et al. USING THE GOOGLE CLASSROOM WEB SERVICE
AND PREPARING INTERACTIVE PRESENTATIONS //Экономика и социум. –
2024. – №. 5-1 (120). – С. 216-225.
14.
Daminova B. E., Bozorova I. J., Jumayeva N. X. CREATION OF
ELECTRONIC LEARNING MATERIALS USING MICROSOFT WORD
PROGRAM //Экономика и социум. – 2024. – №. 4-2 (119). – С. 104-109.
15.
Daminova B. E. et al. APPLICATION OF MODERN INFORMATION AND
COMMUNICATION TECHNOLOGIES IN TEACHING ENGLISH //Экономика и
социум. – 2024. – №. 5-1 (120). – С. 197-201.
16.
Daminova B. E. et al. SOFTWARE TOOLS FOR CREATING MULTIMEDIA
RESOURCES IN TEACHING ENGLISH //Экономика и социум. – 2024. – №. 5-1
(120). – С. 202-206.
