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...

Descripció completa

Guardat en:

Dades bibliogràfiques
Autor principal:	Kovalenko, A. V. (070)
Format:	Книга
Matèries:	neural network technologies financial condition economic condition creditworthiness neural network
Accés en línia:	Перейти к просмотру издания
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars

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

Neural Networks in Production
per: Rudakova, T. A., et al.
Publicat: (2024)

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

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

Neural network analysis for image classification
per: Vershkov, N. A., et al.
Publicat: (2022)

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

Optimization of Artificial Neural Networks using Wavelet Transforms
per: Vershkov, N. A., et al.
Publicat: (2023)

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

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

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

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

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

Adaptive finite ring neural network
per: Evdokimov, A. A., et al.
Publicat: (2019)

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

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

Optimization of computational complexity of an artificial neural network
per: Vershkov, N. A., et al.
Publicat: (2021)

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

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

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

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

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

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

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

The wave model of artificial neural network
per: Vershkov, N. A., et al.
Publicat: (2020)

Analysis of Neural Networks for Image Classification
per: Vershkov, N. A., et al.
Publicat: (2023)

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

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

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

Discrete Neural Network of Bidirectional Associative Memory
per: Shaposhnikov, A. V., et al.
Publicat: (2023)

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

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

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

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

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

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

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

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

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

An intelligent system for content generation
per: Nikolaev, E. I., et al.
Publicat: (2018)

An intelligent system for content generation
per: Nikolaev, E. I., et al.
Publicat: (2018)