Results 11 to 20 of about 273,096 (313)
Advanced Artificial Neural Networks [PDF]
Algorithms, 2018 Artificial neural networks (ANNs) have been extensively applied to a wide range of disciplines, such as system identification and control, decision making, pattern recognition, medical diagnosis, finance, data mining, visualization, and others. With advances in computing and networking technologies, more complicated forms of ANNs are expected to emerge,
Tin-Chih Toly Chen +2 more
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Semantic Artificial Neural Networks [PDF]
, 2020 Neural networks have achieved in recent years human level performance in various application domains, including critical applications where accountability is a very important issue, closely related to the interpretability of neural networks and artificial intelligence in general.
Sotirios Batsakis +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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Holography in artificial neural networks [PDF]
Nature, 1990 The dense interconnections that characterize neural networks are most readily implemented using optical signal processing. Optoelectronic 'neurons' fabricated from semiconducting materials can be connected by holographic images recorded in photorefractive crystals. Processes such as learning can be demonstrated using holographic optical neural networks.
Psaltis, Demetri +3 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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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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