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Concept transfer of synaptic diversity from biological to artificial neural networks [PDF]
Nature CommunicationsRecent developments in artificial neural networks have drawn inspiration from biological neural networks, leveraging the concept of the artificial neuron to model the learning abilities of biological nerve cells.
Martin Hofmann +3 more
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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
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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
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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
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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
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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
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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
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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
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Contour detection by CORF operator [PDF]
, 2012 We propose a contour operator, called CORF, inspired by the properties of simple cells in visual cortex. It combines, by a weighted geometric mean, the blurred responses of difference-of-Gaussian operators that model cells in the lateral geniculate ...
22nd International Conference on Artificial Neural Networks +2 more
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ASSESSMENT OF LIBRARY USERS’ FEEDBACK USING MODIFIED MULTILAYER PERCEPTRON NEURAL NETWORKS
ICTACT Journal on Soft Computing, 2017 An attempt has been made to evaluate the feedbacks of library users of four different libraries by using neural network based data mining techniques. This paper presents the results of a survey of users’ satisfactory level on four different libraries ...
K G Nandha Kumar, T Christopher
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