Neural network technologies in economics study aid

Neural network technologies in economics study aid

The study aid covers the use in economics of a number of end-to-end technologies, such as “Artificial Intelligence” and “Neurotechnologies, Virtual and Augmented Reality Technologies”. The publication examines the use of neural network technologies in economic problems, such as assessing the financi...

Volledige beschrijving

Bewaard in:

Bibliografische gegevens
Hoofdauteur:	Kovalenko, A. V. (070)
Formaat:	Книга
Onderwerpen:	neural network technologies financial condition economic condition creditworthiness neural network
Online toegang:	Перейти к просмотру издания
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items

Using neural network technologies to assess the quality characteristics of food
door: Sadovoy, V. V., et al.
Gepubliceerd in: (2021)

Neural Networks in Production
door: Rudakova, T. A., et al.
Gepubliceerd in: (2024)

Hamming neural network in discrete form
door: Shaposhnikov, A. V., et al.
Gepubliceerd in: (2022)

A method for predicting the evolvement of an emergency zone based on artificial neural networks
door: Petrenko, V. I., et al.
Gepubliceerd in: (2021)

Neural network analysis for image classification
door: Vershkov, N. A., et al.
Gepubliceerd in: (2022)

Neural network approach to prediction of the liquid petroleum products viscosity
door: Koldaev, A. I., et al.
Gepubliceerd in: (2021)

Optimization of Artificial Neural Networks using Wavelet Transforms
door: Vershkov, N. A., et al.
Gepubliceerd in: (2023)

Survey of Optimization Algorithms in Modern Neural Networks
door: Abdulkadirov, R. I., et al.
Gepubliceerd in: (2023)

Development of a convolution algorithm for the content of a Web resource for processing by a neural network
door: Gorshkov, S. N., et al.
Gepubliceerd in: (2020)

Hardware and software implementation of neural network control of power systems based on the system of residual classes
door: Tikhonov, E. E., et al.
Gepubliceerd in: (2020)

Transverse-layer partitioning of artificial neural networks for image classification
door: Vershkov, N. A., et al.
Gepubliceerd in: (2024)

Theoretical Analysis of the Convolutional Neural Networks Acceleration by Organizing Calculations According to the Winograd Method
door: Abdulsalyamova, A. S., et al.
Gepubliceerd in: (2023)

Adaptive finite ring neural network
door: Evdokimov, A. A., et al.
Gepubliceerd in: (2019)

Using neural networks in building a psychological typology
door: Solomonov, V. A., et al.
Gepubliceerd in: (2019)

Optimization of neural network training for image recognition based on trigonometric polynomial approximation
door: Vershkov, N. A., et al.
Gepubliceerd in: (2022)

Optimization of computational complexity of an artificial neural network
door: Vershkov, N. A., et al.
Gepubliceerd in: (2021)

Residue number system-based solution for reducing the hardware cost of a convolutional neural network
door: Chervyakov, N. I., et al.
Gepubliceerd in: (2020)

Development of the neural network method for analyzing the literary text from the point of view of genre identification
door: Babenko, M. G., et al.
Gepubliceerd in: (2018)

Improving the methodology for analyzing organizational creditworthiness based on the time factor
door: Rusetskaya, E. A., et al.
Gepubliceerd in: (2021)

Designing Computer Simulators in Support of a Propaedeutic Course on Neural Network Technologies
door: Ionisyan, A. S., et al.
Gepubliceerd in: (2023)

Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System
door: Valueva, M. V., et al.
Gepubliceerd in: (2023)

System for neural network recognition of malignant pigmented skin neoplasms with image pre-processing
door: Lyakhova, U. A., et al.
Gepubliceerd in: (2021)

Image recognition by a second-order convolutional neural network with dynamic receptive fields
door: Nemkov, R. M., et al.
Gepubliceerd in: (2018)

The wave model of artificial neural network
door: Vershkov, N. A., et al.
Gepubliceerd in: (2020)

Analysis of Neural Networks for Image Classification
door: Vershkov, N. A., et al.
Gepubliceerd in: (2023)

Development of prognostic neural network models based on non-positional coding for automatic control systems
door: Tikhonov, E. E., et al.
Gepubliceerd in: (2019)

Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
door: Valueva, M. V., et al.
Gepubliceerd in: (2020)

Using of a convolutional neural network with changing receptive fields in the tasks of image recognition
door: Nemkov, R. M., et al.
Gepubliceerd in: (2018)

Discrete Neural Network of Bidirectional Associative Memory
door: Shaposhnikov, A. V., et al.
Gepubliceerd in: (2023)

Using virtual data for training deep model for hand gesture recognition
door: Nikolaev, E. I., et al.
Gepubliceerd in: (2018)

Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities
door: Babenko, M. G., et al.
Gepubliceerd in: (2021)

Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals
door: Kiladze, M. R., et al.
Gepubliceerd in: (2023)

Adaptive system monitoring of the technical condition technological objects based on wireless sensor networks
door: Fedorenko, V. V., et al.
Gepubliceerd in: (2020)

Hardware implementation of a convolutional neural network using calculations in the residue number system
door: Chervyakov, N. I., et al.
Gepubliceerd in: (2019)

A robotic complex control method based on deep reinforcement learning of recurrent neural networks for automatic harvesting of greenhouse crops
door: Petrenko, V. I., et al.
Gepubliceerd in: (2021)

Analytical review of the methods of dynamic load balancing under conditions of uncertainty in the execution time of tasks
door: Shiriaev, E. M., et al.
Gepubliceerd in: (2021)

Neural Network System for Recognizing Images Affected by Random-Valued Impulse Noise
door: Orazaev, A. R., et al.
Gepubliceerd in: (2023)

System for the recognizing of pigmented skin lesions with fusion and analysis of heterogeneous data based on a multimodal neural network
door: Lyakhov, P. A., et al.
Gepubliceerd in: (2022)

An intelligent system for content generation
door: Nikolaev, E. I., et al.
Gepubliceerd in: (2018)

An intelligent system for content generation
door: Nikolaev, E. I., et al.
Gepubliceerd in: (2018)