A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
A Bahrammirzaee - Neural Computing and Applications, 2010 - Springer
Nowadays, many current real financial applications have nonlinear and uncertain behaviors
which change across the time. Therefore, the need to solve highly nonlinear, time variant …
which change across the time. Therefore, the need to solve highly nonlinear, time variant …
Нейронные сети: обучение, организация и применение. Книга 4
ВА Головко - 2001 - rep.bstu.by
Изложены математические и алгоритмические аспекты функционирования нейронных
сетей с прямыми и обратными связями; отражены вопросы самоорганизации …
сетей с прямыми и обратными связями; отражены вопросы самоорганизации …
Construction of a Conceptual Model of the Accounting and Analytical System of Report Formation Under IFRS
as a result of the study, the mechanism of modeling the accounting process at the present
stage is considered and a conceptual model of formation of accounting and management …
stage is considered and a conceptual model of formation of accounting and management …
Modular platform enabling heterogeneous devices, sensors and actuators to integrate automatically into heterogeneous networks
Home automation systems, or Smart homes, offer a wide variety of functions. Some include
remotely controllable appliances, such as lights, doors, coffee machines, tempera ture …
remotely controllable appliances, such as lights, doors, coffee machines, tempera ture …
Hybrid credit ranking intelligent system using expert system and artificial neural networks
A Bahrammirzaee, AR Ghatari, P Ahmadi, K Madani - Applied Intelligence, 2011 - Springer
The main goal of all commercial banks is to collect the savings of legal and real persons and
allocate them as credit to industrial, services and production companies. Non repayment of …
allocate them as credit to industrial, services and production companies. Non repayment of …
Instrumentation for gathering data [DAQ systems]
A Sachenko, V Kochan… - IEEE instrumentation & …, 2003 - ieeexplore.ieee.org
The main characteristic of the intelligent distributed data acquisition system we describe in
this article is that it supports intelligent functions and provides the desired accuracy of …
this article is that it supports intelligent functions and provides the desired accuracy of …
Information Support for Postwar Economy Recovery of Ukraine
R Zvarych, I Rivilis, M Domiter, P Skulski… - 2023 13th …, 2023 - ieeexplore.ieee.org
This research focuses on information support for Postwar Economy Recovery of Ukraine.
The article analyzes the dynamics of the balance of payments of Ukraine and describes …
The article analyzes the dynamics of the balance of payments of Ukraine and describes …
Compensation of measurement errors for a magnetoresistive angular sensor array using artificial neuronal networks
P Meier, K Rohrmann, M Sandner, M Prochaska - IEEE Access, 2020 - ieeexplore.ieee.org
Sensing setups based on the magnetic field possess many benefits that make such sensors
an important class in many application fields. Especially in industrial or automotive …
an important class in many application fields. Especially in industrial or automotive …
Error compensation in an intelligent sensing instrumentation system
Methods of improving the measurement accuracy by estimation and correction of the
maximum error components, are analyzed. The functional structure of the measurement …
maximum error components, are analyzed. The functional structure of the measurement …
[PDF][PDF] Sensor drift prediction using neural networks
The neural networks application with various properties is considered for accuracy
increasing of physical quantities measurement by prediction of sensors drift. There is …
increasing of physical quantities measurement by prediction of sensors drift. There is …