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Academic Articles & Research Papers
Showing 20 of 416 academic articles
• Choice Reviews Online
(1994)
At present, computers cannot think, make independent decisions, recognize visual and audible patterns, reach reliable conclusions without complete information or learn from their mistakes. The question this book and research into artificial...
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DOI: https://doi.org/10.5860/choice.32-2176
Sebastian Kujawa, Gniewko Niedbała • Agriculture
(2021)
Artificial neural networks are one of the most important elements of machine learning and artificial intelligence. They are inspired by the human brain structure and function as if they are based on interconnected nodes in which simple proc...
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DOI: https://doi.org/10.3390/agriculture11060497
Qiming Zhang, Haoyi Yu, Martina Barbiero, Baokai Wang et al. • Light Science & Applications
(2019)
The growing demands of brain science and artificial intelligence create an urgent need for the development of artificial neural networks (ANNs) that can mimic the structural, functional and biological features of human neural networks. Nano...
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DOI: https://doi.org/10.1038/s41377-019-0151-0
PMC: 6504946
J. T. Gene Hwang, Aidong Adam Ding • Journal of the American Statistical Association
(1997)
The artificial neural network (ANN) is becoming a very popular model for engineering and scientific applications. Inspired by brain architecture, artificial neural networks represent a class of nonlinear models capable of learning from data...
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DOI: https://doi.org/10.1080/01621459.1997.10474027
Kevin Warwick • Institution of Engineering and Technology eBooks
(1995)
In this chapter, neural networks are discussed. The present field of neural networks links a number of closely related areas, such as parallel distributed processing, connectionism and neural computing, these being brought together with the...
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DOI: https://doi.org/10.1049/pbce053e_ch1
Tim P. Vogels, Kanaka Rajan, Larry F. Abbott • Annual Review of Neuroscience
(2005)
Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dy...
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DOI: https://doi.org/10.1146/annurev.neuro.28.061604.135637
Hecht-Nielsen • International Joint Conference on Neural Networks (IJCNN)
(1989)
The author presents a survey of the basic theory of the backpropagation neural network architecture covering architectural design, performance measurement, function approximation capability, and learning. The survey includes previously know...
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DOI: https://doi.org/10.1109/ijcnn.1989.118638
Roheen Qamar, Baqar Ali Zardari • Mesopotamian Journal of Computer Science
(2023)
Neural networks, also known as artificial neural networks (ANNs) or artificially generated neural networks (SNNs) are a subset of machine learning that provide the foundation of deep learning techniques. Their name and form are inspired by ...
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DOI: https://doi.org/10.58496/mjcsc/2023/015
(1995)
A general introduction to the subject of artificial neural networks is given and the tenuous relationship of neural networks to the biological neuron structure of the brain is also briefly outlined. The development of artificial neural netw...
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DOI: https://doi.org/10.1109/etd.1995.403491
Amey Thakur • International Journal for Research in Applied Science and Engineering Technology
(2021)
The purpose of this study is to familiarise the reader with the foundations of neural networks. Artificial Neural Networks (ANNs) are algorithm-based systems that are modelled after Biological Neural Networks (BNNs). Neural networks are an ...
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Open Access
DOI: https://doi.org/10.22214/ijraset.2021.37362
Robert E. Uhrig • Annual Conference of the IEEE Industrial Electronics Society (IECON)
(2002)
A neural network is a data processing system consisting of a large number of simple, highly interconnected processing elements in an architecture inspired by the structure of the cerebral cortex portion of the brain. Hence, neural networks ...
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DOI: https://doi.org/10.1109/iecon.1995.483329
Christos Christodoulou, Michael Georgiopoulos • CERN Document Server (European Organization for Nuclear Research)
(2001)
From the Book:
Since the early 1990s, a plethora of electromagnetic problems have been tackled using neural networks, some more successfully than others. Because neural networks and electromagnetics are two different scientific fields, not...
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Fenglei Fan, Jinjun Xiong, Mengzhou Li, Ge Wang • IEEE Transactions on Radiation and Plasma Medical Sciences
(2021)
Deep learning as represented by the artificial deep neural networks (DNNs) has achieved great success recently in many important areas that deal with text, images, videos, graphs, and so on. However, the black-box nature of DNNs has become ...
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Open Access
DOI: https://doi.org/10.1109/trpms.2021.3066428
PMC: 9105427
Yinying Wang • Journal of Educational Administration
(2021)
Purpose Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. ...
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DOI: https://doi.org/10.1108/jea-10-2020-0216
Minji Lee, Wanjoo Park, Eunhee Park, Soon-Jae Kweon et al. • Applied Sciences
(2024)
Dual-mode non-invasive brain stimulation using repetitive transcranial magnetic stimulation and transcranial direct current stimulation is known to help neurorehabilitation in patients with stroke. However, this neuromodulation effect may v...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14219636
Yogita K. Dubey, Milind M. Mushrif • Advances in Fuzzy Systems
(2016)
The study of brain disorders requires accurate tissue segmentation of magnetic resonance (MR) brain images which is very important for detecting tumors, edema, and necrotic tissues. Segmentation of brain images, especially into three main t...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2016/3406406
Yingmei Qin, Ziyu Hu, Yi Chen, Jing Liu et al. • Entropy
(2022)
Fatigue driving is one of the major factors that leads to traffic accidents. Long-term monotonous driving can easily cause a decrease in the driver’s attention and vigilance, manifesting a fatigue effect. This paper proposes a means of reve...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e24081093
Yvonne Schröder, Daniela Michelle Hohmann, Tina Meller, Ulrika Evermann et al. • European Psychiatry
(2021)
Abstract
Background
Previous case–control studies of autistic spectrum disorder (ASD) have identified altered brain structure such as altered frontal and temporal cortex volumes, or decreased fractional anisotropy (FA) within the inferior ...
DOAJ
Open Access (DOAJ)
DOI: 10.1192/j.eurpsy.2021.15
Wanying Zhao, Linlin Ye, Lei Cao, Weiqun Song • Brain Circulation
(2024)
BACKGROUND:
Owing to the adverse effects of unilateral neglect (UN) on rehabilitation outcomes, fall risk, and activities of daily living, this field has gradually got considerable interest. Notwithstanding, there is presently an absence of...
DOAJ
Open Access (DOAJ)
DOI: 10.4103/bc.bc_72_23
Kallol Polley, Sayed Mohammed Firdous • Discover Oncology
(2026)
Abstract This narrative review summarises glioblastoma (GBM), a very frequent invasive kind of brain tumour in the elderly that is extremely aggressive, resistant to treatment, and has a bad prognosis because of its substantial genetic and ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s12672-026-04671-4