MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-26
Часть–6_ Май –2025
199
THE ROLE OF THE PRINCIPLE OF OPERATION OF A NEURAL
NETWORK IN SOCIETY.
Muhiddinov Samandar Suhrob ugli,
Karshi State Technical University,
Student of the Department of Telecommunication Technologies
Annotation. This article analyzes the working principle of neural networks
and their role in society. Neural networks, as a key component of artificial intelligence
and machine learning technologies, are revolutionizing many fields. The working
principle of the network is based on the human brain, capable of learning, classifying,
and making decisions based on data. It is effectively used in production optimization,
medical diagnostics, creating personal assistants, and automation systems. The article
also discusses the economic and social impact of neural networks on society, ethical
issues, and future development prospects.
Key words: Neural networks, artificial intelligence, machine learning
technologies, revolutionary changes, human brain activity, data mining, classification,
optimization, medical diagnostics, personal assistants, automation systems, social
impacts, ethical issues, and future development prospects are also discussed.
Аннотация. В статье анализируется принцип работы нейронных сетей
и их роль в обществе. Нейронные сети, как ключевой компонент технологий
искусственного интеллекта и машинного обучения, производят революцию во
многих областях. Принцип работы сети основан на человеческом мозге,
способном обучаться, классифицировать и принимать решения на основе
данных. Он эффективно используется в оптимизации производства,
медицинской диагностике, создании персональных помощников и систем
автоматизации. В статье также обсуждается экономическое и социальное
влияние нейронных сетей на общество, этические вопросы и перспективы
будущего развития.
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-26
Часть–6_ Май –2025
200
Ключевые слова: Нейронные сети, искусственный интеллект,
технологии машинного обучения, революционные изменения, активность
человеческого мозга, интеллектуальный анализ данных, классификация,
оптимизация, медицинская диагностика, персональные помощники, системы
автоматизации, социальные последствия, этические вопросы и перспективы
будущего развития.
Neural networks, as one of the key technologies of artificial intelligence and
machine learning, are bringing about major changes in the fields of science and
technology. These networks are based on modeling the human brain and are used in
many practical areas. Neural networks have found their place in various areas of society
with their high efficiency and ability to process complex information. This article
analyzes the principle of operation of a neural network and its role in society. In
particular, the impact of this technology in the economic, social, cultural and scientific
fields, as well as its importance for the overall development of society, will be
considered.
Principle of operation of a neural network. The principle of operation of a
neural network is based on modeling the human brain. In the human brain, neurons are
interconnected and process information by receiving and sending signals from each
other. Thus, an artificial neural network works in a similar way: input data (input)
passes through neurons and is converted into output (output). Each neuron has its own
weight and activation function, which determines how it processes the data.
The main components of a neural network are:
Input layers: Data enters the network and is processed by the neurons in the
network.
Hidden layers: Data from the input layers is learned and processed by the
hidden layers.
Output layers: The final layer produces the output of the network. This can be
a category or class in a classification problem.
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-26
Часть–6_ Май –2025
201
Neural networks learn using various algorithms, such as gradient descent or
other optimization methods, in which the network updates its weights. During the
training process, the network tries to minimize the error between the inputs and outputs.
Role and impact in society. The role of neural networks in society has led to
changes in many areas. Their impact is most noticeable in the following areas:
Economic development. Neural networks and artificial intelligence
technologies are making great revolutions in the economic sphere. The role of neural
networks in automation, optimization of production processes and increasing
efficiency is incomparable. For example, in the production and logistics sectors, neural
networks are used to optimize automatic control systems, demand forecasting and
inventory processes. This, in turn, helps to reduce production costs, increase
competitiveness and ensure economic growth.
Also, in the banking sector, neural networks are used to detect fraud, assess
credit history, and provide customer service. They help make quick and accurate
decisions and are of great importance in making services more efficient.
Healthcare. In the healthcare sector, neural networks are creating new
opportunities for analyzing, diagnosing, and treating medical images. When working
with X-ray, MRI, and other medical images, neural networks help to identify
pathologies with high accuracy. For example, in the field of oncology, neural networks
have made it possible to detect cancer cells and diagnose diseases at an early stage.
The learning and analysis capabilities of neural networks are also helping to
create new drugs and treatments in medical research. They are being used in genomic
studies, the detection of genetic diseases, and the development of personalized medical
treatment approaches.
Education and Science. In the field of education, neural networks allow for the
creation of individual learning systems for students. For example, they can be used to
develop customized educational materials based on students' interests, learning styles,
and reading speed. At the same time, neural networks are of great help in scientific
research and data analysis. In fields such as biology, physics, and mathematics, neural
networks help in processing large data sets and making new scientific discoveries.
MODERN EDUCATION AND DEVELOPMENT
Выпуск журнала №-26
Часть–6_ Май –2025
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Application in everyday life Neural networks are also widely used in our daily
lives. For example, personal assistants using artificial intelligence (Siri, Google
Assistant, etc.) can provide users with accurate and fast assistance. In social networks,
neural networks are used to describe advertising and content, which allows users to be
shown personalized advertisements.
In addition, automatic systems in car control are also being developed using
neural networks. New autonomous cars use neural networks to ensure safety and
effectively manage traffic.
Social and ethical implications. Neural networks are raising social and ethical
issues in society, especially in the information and media industries. Neural networks
will be used to classify data, detect malicious content, and filter out fake information.
However, these technologies can also be used for illegal purposes, such as
manipulation through deepfake technologies.
In addition, the widespread use of machine learning and artificial intelligence
systems will increase automation in the workplace, which may lead to the
disappearance of certain professions. To prevent such situations and to adapt people to
new professions, it is necessary to pay attention to the education system and vocational
guidance.
The principle of operation of neural networks and their role in society are of
great importance. It is helping to increase efficiency in economic sectors, create
innovations in healthcare, individualize education, make new discoveries in science,
and make everyday life easier. However, it is also necessary to take into account the
social and ethical implications of these technologies. Therefore, along with the
development and application of neural networks, it is important to take the necessary
measures to achieve fair and sustainable development in society.
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