Analysis of Neural Networks for Image Classification

Analysis of Neural Networks for Image Classification

The article explores the option of using information theory’s mathematical tools to model artificial neural networks. The two primary network architectures for image recognition, classification, and clustering are the feedforward network and convolutional networks. The study investigates the use of...

Сохранить в:

书目详细资料
Главные авторы:	Vershkov, N. A., Вершков, Н. А., Babenko, M. G., Бабенко, М. Г., Kuchukov, V. A., Кучуков, В. А., Kuchukova, N. N., Кучукова, Н. Н., Kucherov, N. N., Кучеров, Н. Н.
格式:	Статья
语言:	English
出版:	2023
主题:	Artificial neural networks Wavelets Convolution Correlation Feature vector Orthogonal transformations
在线阅读:	https://dspace.ncfu.ru/handle/20.500.12258/25214
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Transverse-layer partitioning of artificial neural networks for image classification
由: Vershkov, N. A., и др.
出版: (2024)

Optimization of Artificial Neural Networks using Wavelet Transforms
由: Vershkov, N. A., и др.
出版: (2023)

Neural network analysis for image classification
由: Vershkov, N. A., и др.
出版: (2022)

The wave model of artificial neural network
由: Vershkov, N. A., и др.
出版: (2020)

Neural network classification of dermatoscopic images of pigmented skin lesions
由: Lyakhov, P. A., и др.
出版: (2022)

Method for determining skin lesions from images using neural network
由: Lyakhova, U. A., и др.
出版: (2020)

Search for the global extremum using the correlation indicator for neural networks supervised learning
由: Vershkov, N. A., и др.
出版: (2021)

Features of artificial intelligence technologies and their use and impact on transformation in the banking sector
由: Stankevich, G. V., и др.
出版: (2022)

Systematic review of approaches to detection and classification of skin cancer using artificial intelligence: Development and prospects
由: Lyakhova, U. A., и др.
出版: (2024)

Optimization of neural network training for image recognition based on trigonometric polynomial approximation
由: Vershkov, N. A., и др.
出版: (2022)

Image recognition by a second-order convolutional neural network with dynamic receptive fields
由: Nemkov, R. M., и др.
出版: (2018)

Residue number system-based solution for reducing the hardware cost of a convolutional neural network
由: Chervyakov, N. I., и др.
出版: (2020)

Quantization noise of multilevel discrete wavelet transform filters in image processing
由: Chervyakov, N. I., и др.
出版: (2019)

Analysis of the quantization noise in discrete wavelet transform filters for 3D medical imaging
由: Chervyakov, N. I., и др.
出版: (2020)

Method of cleaning hair structures for intellectual image classification of skin neoplasms
由: Lyakhova, U. A., и др.
出版: (2021)

Using of a convolutional neural network with changing receptive fields in the tasks of image recognition
由: Nemkov, R. M., и др.
出版: (2018)

High-Speed Wavelet Image Processing Using the Winograd Method
由: Nagornov, N. N., и др.
出版: (2023)

Increasing the Speed of Wavelet Image Processing with Decimation Using the Winograd Method
由: Lyakhov, P. A., и др.
出版: (2024)

The effective neural network implementation of the secret sharing scheme with the use of matrix projections on FPGA
由: Chervyakov, N. I., и др.
出版: (2018)

Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
由: Valueva, M. V., и др.
出版: (2020)

Neural network classification system for pigmented skin neoplasms with preliminary hair removal in photographs
由: Lyakhov, P. A., и др.
出版: (2021)

Reducing the Computational Complexity of Image Processing Using Wavelet Transform Based on the Winograd Method
由: Lyakhov, P. A., и др.
出版: (2023)

Semantic Segmentation System of Pigmented Skin Lesions Based on Convolutional Neural Networks
由: Fedorenko, V. V., и др.
出版: (2022)

Optimization of computational complexity of an artificial neural network
由: Vershkov, N. A., и др.
出版: (2021)

High-quality 3D medical imaging by wavelet filters with reduced coefficients bit-width
由: Chervyakov, N. I., и др.
出版: (2020)

Application of noise-resistant modular codes to increase the fault tolerance of infocommunication systems with OFDMD
由: Kalmykov, I. A., и др.
出版: (2021)

Analysis of the quantization noise in discrete wavelet transform filters for image processing
由: Chervyakov, N. I., и др.
出版: (2018)

Analysis of the quantization noise in discrete wavelet transform filters for image processing
由: Chervyakov, N. I., и др.
出版: (2018)

Theoretical Analysis of the Convolutional Neural Networks Acceleration by Organizing Calculations According to the Winograd Method
由: Abdulsalyamova, A. S., и др.
出版: (2023)

Feature importance evaluation method for multi-agent deep reinforcement learning in advanced robotics task allocation
由: Ryabtsev, S. S., и др.
出版: (2022)

Comparative Analysis of Various Methods to Circuit Design for DWT with CDF 9/7 Wavelet
由: Nagornov, N. N., и др.
出版: (2022)

Low-bit hardware implementation of DWT for 3D medical images processing
由: Lyakhov, P. A., и др.
出版: (2020)

Review of Modern Technologies of Computer Vision
由: Bezuglova, E. S., и др.
出版: (2023)

Development of a convolution algorithm for the content of a Web resource for processing by a neural network
由: Gorshkov, S. N., и др.
出版: (2020)

Increasing of convolutional neural network performance using residue number system
由: Chervyakov, N. I., и др.
出版: (2018)

Hardware implementation of a convolutional neural network using calculations in the residue number system
由: Chervyakov, N. I., и др.
出版: (2019)

RNS-based FPGA accelerators for high-quality 3D medical image wavelet processing using scaled filter coefficients
由: Nagornov, N. N., и др.
出版: (2022)

Method of oriented contour detection on image using lorentz function
由: Lyakhov, P. A., и др.
出版: (2020)

High-performance hardware 3D medical imaging using wavelets in the residue number system
由: Chervyakov, N. I., и др.
出版: (2020)

On Codimension 3 Singular Points of First-order Implicit Differential Equations
由: Oblasova, I. N., и др.
出版: (2023)