Results 21 to 30 of about 275,127 (313)
PLoS ONE, 2020 Artificial neural networks are the main tools for data mining and were inspired by the human brain and nervous system. Studies have demonstrated their usefulness in medicine.
Shungo Imai +6 more
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Scaling tabular data of training datasets with neural networks
Вісник Харківського національного університету імені В.Н. Каразіна. Серія: Математичне моделювання, інформаційні технології, автоматизовані системи управління, 2023 The paper proposes a method of scaling the tabular data of the training dataset using neural networks, describes the architecture of such networks. Relevance.
Дмитро Узлов +3 more
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Neural Networks as Artificial Specifications [PDF]
, 2018 In theory, a neural network can be trained to act as an artificial specification for a program by showing it samples of the programs executions. In practice, the training turns out to be very hard. Programs often operate on discrete domains for which patterns are difficult to discern. Earlier experiments reported too much false positives.
I. S. Wishnu B. Prasetya, Minh An Tran
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Integration of knowledge-based system, artificial neural networks and multimedia for gear design [PDF]
, 2000 Design is a complicated area consisting of a combination of rules, technical information and personal judgement. The quality of design depends highly on the designer's knowledge and experience.
K Jambunathan +5 more
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Advances in Artificial Neural Networks – Methodological Development and Application
Algorithms, 2009 Artificial neural networks as a major soft-computing technology have been extensively studied and applied during the last three decades. Research on backpropagation training algorithms for multilayer perceptron networks has spurred development of other ...
Yanbo Huang
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Mathematics, 2023 When realized on computational devices with finite quantities of memory, feedforward artificial neural networks and the functions they compute cease being abstract mathematical objects and turn into executable programs generating concrete computations ...
Vladimir A. Kulyukin
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Adsorption Science & Technology, 2022 The application of artificial neural networks on adsorption modeling has significantly increased during the last decades. These artificial intelligence models have been utilized to correlate and predict kinetics, isotherms, and breakthrough curves of a ...
Hilda Elizabeth Reynel-Ávila +7 more
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Artificial Intelligence to Analyze the Cortical Thickness Through Age
Frontiers in Artificial Intelligence, 2021 In this study, Artificial Intelligence was used to analyze a dataset containing the cortical thickness from 1,100 healthy individuals. This dataset had the cortical thickness from 31 regions in the left hemisphere of the brain as well as from 31 regions ...
Sergio Ledesma +5 more
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Fast non-recursive extraction of individual harmonics using artificial neural networks [PDF]
, 2005 A collaborative work between Northumbria University and University of Peradeniya (Sri Lanka). It presents a novel technique based on Artificial Neural Networks for fast extraction of individual harmonic components. The technique was tested on a real-time
Wijayakulasooriya, Janaka V. +2 more
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Artificial neural networks training acceleration through network science strategies [PDF]
, 2020 The development of deep learning has led to a dramatic increase in the number of applications of artificial intelligence. However, the training of deeper neural networks for stable and accurate models translates into artificial neural networks (ANNs ...
Liotta, Antonio +9 more
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