Artificial neural networks учебное пособие

Artificial neural networks учебное пособие

Рассмотрены вопросы возникновения искусственных нейронных сетей, биологическая модель нейрона, различные архитектуры искусственных нейронных сетей. Приведено большое количество примеров формализации практических задач для последующего решения с помощью искусственных нейронных сетей. Предназначено дл...

Полное описание

Сохранить в:

Библиографические подробности
Главный автор:	Калитин, Д. В. (070)
Формат:	Книга
Темы:	development algorithm function
Online-ссылка:	Перейти к просмотру издания
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Схожие документы

The Possibilities of Using Neural Networks in Literature Lessons at School
Автор: Murashko, E. I., и др.
Опубликовано: (2024)

Analysis of an Existing Method for Detecting Adversarial Attacks on Deep Neural Networks
Автор: Lapina, M. A., и др.
Опубликовано: (2024)

Improving the Accuracy of Neural Network Pattern Recognition by Fractional Gradient Descent
Автор: Abdulkadirov, R. I., и др.
Опубликовано: (2024)

Investigation of Neural Network Methods for Error Detection and Correction in the Residue Number System
Автор: Lutsenko, V. V., и др.
Опубликовано: (2024)

An Approximate Algorithm for Determining the Sign Function of a Number Using Neural Network Methods
Автор: Shiriaev, E. M., и др.
Опубликовано: (2024)

High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks
Автор: Lapina, M. A., и др.
Опубликовано: (2024)

Construction of Akushsky Core Functions Without Critical Cores
Автор: Lutsenko, V. V., и др.
Опубликовано: (2024)

Recognition of Particle Impacts in Acoustic Fixing of Dust Flow Using an Artificial Neural Network
Автор: Valuev, G. V., и др.
Опубликовано: (2024)

Artificial Gorilla Troop Optimization Based Load Balancing of Workflow Tasks in Cloud Environment
Автор: Lapina, M. A., и др.
Опубликовано: (2025)

An Efficient Implementation of the Montgomery Algorithm Using the Akushsky Core Function
Автор: Lutsenko, V. V., и др.
Опубликовано: (2024)

Fault Tolerant System for Data Storage, Transmission and Processing in Fog Computing Using Artificial Neural Networks
Автор: Lutsenko, V. V., и др.
Опубликовано: (2024)

Neural network technologies in economics study aid
Автор: Kovalenko, A. V.

Multirecurrent Neural Network in Discrete Form
Автор: Shaposhnikov, A. V., и др.
Опубликовано: (2024)

Numerical Scheme with Convergence Analysis and Error Estimate for Variable Order Weakly Singular Integro-Differential Equation
Автор: Alikhanov, A. A., и др.
Опубликовано: (2023)

Modeling of parallel data encryption algorithms
Автор: Kocherov, Y. N., и др.
Опубликовано: (2020)

Methodology and Technology of Using Neural Networks in Agriculture
Автор: Mikhailov, G. G., и др.
Опубликовано: (2024)

Optimization of neural network computation with use of residual number system for tasks of design of neural network systems of automatic control
Автор: Tikhonov, E. E., и др.
Опубликовано: (2019)

FUNCTIONAL POTENTIAL OF THE ORGANISM OF PEDAGOGICAL UNIVERSITY STUDENTS: ASSESSMENT CRITERIA, STATE INDICATORS
Автор: Lukyanenko, V. P., и др.
Опубликовано: (2023)

Neural networks fundamentals in mobile robot control systems учебное пособие
Автор: Медведев, М. Ю.

Neural networks fundamentals in mobile robot control systems Учебное пособие
Автор: Медведев М.Ю

An Efficient Compressive Data Collection Scheme for Wireless Sensor Networks
Автор: Lapina, M. A., и др.
Опубликовано: (2024)

Perceptions of Neural Network Use in Higher Education: Case Study
Автор: Yesayan, M. L., и др.
Опубликовано: (2025)

Development of an Approach to Confidential Learning with Errors in the Design of Neural Networks
Автор: Bezuglova, E. S., и др.
Опубликовано: (2024)

Implementation of CMAC neural network control systems in residue number system
Автор: Koldaev, A. I., и др.
Опубликовано: (2020)

Modeling of situational strategies with application of neural networks on the example of the industrial enterprise Глава
Автор: Volovikov B.

Neural Network System for Recognizing Images Affected by Random-Valued Impulse Noise
Автор: Orazaev, A. R., и др.
Опубликовано: (2023)

Enhancing Drone Detection via Transformer Neural Network and Positive–Negative Momentum Optimizers
Автор: Lyakhov, P. A., и др.
Опубликовано: (2025)

Ensemble of Visual Transformer and Deep Neural Networks for Recognizing Sunflower Diseases from Photographs
Автор: Baboshina, V. A., и др.
Опубликовано: (2024)

Artificial Intelligence in Education and Training
Автор: Sidin, M. G., и др.
Опубликовано: (2025)

Physics-informed neural network model using natural gradient descent with Dirichlet distribution
Автор: Abdulkadirov, R. I., и др.
Опубликовано: (2025)

Neural network recognition system for video transmitted through a binary symmetric channel
Автор: Baboshina, V. A., и др.
Опубликовано: (2024)

Multimodal ensemble neural network system for skin cancer detection on heterogeneous dermatological data
Автор: Lyakhova, U. A., и др.
Опубликовано: (2024)

Research and Modification of Montgomery Multiplication Algorithm
Автор: Lapina, M. A., и др.
Опубликовано: (2024)

OSSA Scheduler: Opposition-Based Learning Salp Swarm Algorithm for Task Scheduling in Cloud Computing
Автор: Lapina, M. A., и др.
Опубликовано: (2024)

Continuous mathematics: theory and practice. Limit of a sequence and limit of a function, continuous and differentiable functions textbook
Автор: Абрамян, А. В.

Encapsulated polyphenols in functional food production
Автор: Bobrysheva, T. N., и др.
Опубликовано: (2025)

Detection of attention state in children with autism spectrum disorder based on neural network classification of electroencephalograms
Автор: Lyakhov, P. A., и др.
Опубликовано: (2025)

Hardware and software implementation of neural network control of power systems based on the system of residual classes
Автор: Tikhonov, E. E., и др.
Опубликовано: (2020)

Development of prognostic neural network models based on non-positional coding for automatic control systems
Автор: Tikhonov, E. E., и др.
Опубликовано: (2019)

A new series of acetohydroxamates shows in vitro and in vivo anticancer activity against melanoma
Автор: Aksenov, A. V., и др.
Опубликовано: (2019)