Results 1 to 10 of about 848,733 (323)
Artificial Neural Networks [PDF]
, 2008 Artificial neural networks (ANNs) constitute a class of flexible nonlinear models designed to mimic biological neural systems. In this entry, we introduce ANN using familiar econometric terminology and provide an overview of ANN modeling approach and its
Chung-Ming Kuan
core +10 more sources
Journal of Imaging, 2023 Artificial neural networks can solve various tasks in computer vision, such as image classification, object detection, and general recognition.
Ladislav Karrach, Elena Pivarčiová
doaj +1 more source
Artificial neural networks [PDF]
, 2017 Nowadays we are living in the age of computers, and we are systematically making our way to creating artificial intelligence. In addition, one of possible directions to make AI come true is to find the way of generalizing ...
Korotenko, L.M. +2 more
core +8 more sources
Dynamic modeling of PISA achievement scores: comparative analysis of artificial neural networks and differential equation systems approaches. [PDF]
Sci RepDaşbaşi B.
europepmc +3 more sources
Practical Aspects of the Design and Use of the Artificial Neural Networks in Materials Engineering
Metals, 2021 Artificial neural networks are an effective and frequently used modelling method in regression and classification tasks in the area of steels and metal alloys.
Wojciech Sitek, Jacek Trzaska
doaj +1 more source
Problem Solver Model of Intelligent Framework for the Development of Artificial Neural Networks
Цифровая трансформация, 2023 The article describes an approach to implementing the ability of intelligent systems to self-learn through an intelligent framework for the development of artificial neural networks.
M. V. Kovalev
doaj +1 more source
EXCHANGE RATE DETERMINATION BY ARTIFICIAL NEURAL NETWORKS: TURKISH CASE
Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2021 Artificial Neural Networks as one of the Artificial Intelligence applications, which is the leading candidate for the greatest innovation of the century, has been started to be used in solving the complex problems of the economy for a while. Among them,
Ayça Sarıalioğlu Hayali +1 more
doaj +1 more source
Adaptive Learning Gabor Filter for Finger-Vein Recognition
IEEE Access, 2019 Presently, finger-vein recognition is a new research direction in the field of biometric recognition. The Gabor filter has been extensively used for finger-vein recognition; however, its parameters are difficult to adjust.
Yakun Zhang +5 more
doaj +1 more source
Journal of Machine Engineering, 2021 Due to the rising demand for individualized product specifications and short innovation cycles, industrial robots gain increasing attention for machining operations as milling and forming.
Eckart Uhlmann +4 more
doaj +1 more source
Forecasting trade balance of Czech Republic and People´s Republic of China in equalizing time series and considering seasonal fluctuations [PDF]
SHS Web of Conferences, 2020 The objective of the contribution is to introduce a methodology for considering seasonal fluctuations in equalizing time series using artificial neural networks on the example of the Czech Republic and the People´s Republic of China trade balance.
Vochozka Marek, Rowland Zuzana
doaj +1 more source