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...

Fuld beskrivelse

Сохранить в:

Bibliografiske detaljer
Hovedforfatter:	Kovalenko, A. V. (070)
Format:	Книга
Fag:	neural network technologies financial condition economic condition creditworthiness neural network
Online adgang:	Перейти к просмотру издания
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Lignende værker

Using neural network technologies to assess the quality characteristics of food
af: Sadovoy, V. V., и др.
Udgivet: (2021)

Neural Networks in Production
af: Rudakova, T. A., и др.
Udgivet: (2024)

Hamming neural network in discrete form
af: Shaposhnikov, A. V., и др.
Udgivet: (2022)

A method for predicting the evolvement of an emergency zone based on artificial neural networks
af: Petrenko, V. I., и др.
Udgivet: (2021)

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

Neural network approach to prediction of the liquid petroleum products viscosity
af: Koldaev, A. I., и др.
Udgivet: (2021)

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

Survey of Optimization Algorithms in Modern Neural Networks
af: Abdulkadirov, R. I., и др.
Udgivet: (2023)

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

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

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

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

Adaptive finite ring neural network
af: Evdokimov, A. A., и др.
Udgivet: (2019)

Using neural networks in building a psychological typology
af: Solomonov, V. A., и др.
Udgivet: (2019)

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

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

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

Development of the neural network method for analyzing the literary text from the point of view of genre identification
af: Babenko, M. G., и др.
Udgivet: (2018)

Improving the methodology for analyzing organizational creditworthiness based on the time factor
af: Rusetskaya, E. A., и др.
Udgivet: (2021)

Designing Computer Simulators in Support of a Propaedeutic Course on Neural Network Technologies
af: Ionisyan, A. S., и др.
Udgivet: (2023)

Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System
af: Valueva, M. V., и др.
Udgivet: (2023)

System for neural network recognition of malignant pigmented skin neoplasms with image pre-processing
af: Lyakhova, U. A., и др.
Udgivet: (2021)

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

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

Analysis of Neural Networks for Image Classification
af: Vershkov, N. A., и др.
Udgivet: (2023)

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

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

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

Discrete Neural Network of Bidirectional Associative Memory
af: Shaposhnikov, A. V., и др.
Udgivet: (2023)

Using virtual data for training deep model for hand gesture recognition
af: Nikolaev, E. I., и др.
Udgivet: (2018)

Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities
af: Babenko, M. G., и др.
Udgivet: (2021)

Multimodal Neural Network for Recognition of Cardiac Arrhythmias Based on 12-Load Electrocardiogram Signals
af: Kiladze, M. R., и др.
Udgivet: (2023)

Adaptive system monitoring of the technical condition technological objects based on wireless sensor networks
af: Fedorenko, V. V., и др.
Udgivet: (2020)

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

A robotic complex control method based on deep reinforcement learning of recurrent neural networks for automatic harvesting of greenhouse crops
af: Petrenko, V. I., и др.
Udgivet: (2021)

Analytical review of the methods of dynamic load balancing under conditions of uncertainty in the execution time of tasks
af: Shiriaev, E. M., и др.
Udgivet: (2021)

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

System for the recognizing of pigmented skin lesions with fusion and analysis of heterogeneous data based on a multimodal neural network
af: Lyakhov, P. A., и др.
Udgivet: (2022)

An intelligent system for content generation
af: Nikolaev, E. I., и др.
Udgivet: (2018)

An intelligent system for content generation
af: Nikolaev, E. I., и др.
Udgivet: (2018)