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Academic Articles & Research Papers
Showing 10 of 10 academic articles
I Made Agus Wirawan, Ketut Paramarta • Data in Brief
(2025)
One of the main goals of today's technology is to create a connected environment between humans and technological devices to perform daily physical activities. However, users with speech disorders cannot use this application. Loss of verbal...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dib.2025.111454
C. H. Chen • McGraw-Hill, Inc. eBooks
(1996)
Fuzzy logic principles and algorithms design guidelines for fuzzy logic systems enhanced training algorithms maximum likelihood training temporal difference learning NADINE hybrid learning systems explanation and reasoning within connectivi...
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• Bloomsbury Publishing Plc eBooks
(2000)
Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior...
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DOI: https://doi.org/10.5040/9781350392434
Bernd Jähne, Horst W. Haussecker, Peter Geißler (1999)
Contents of Volume One: Preface. Contributors. B. Jahne, Introduction. Illumination and Image Formation. H. Hausecker, Radiation. H. Hausecker, Interaction of Radiation with Matter. P. Geisler, Geometric and Wave Optics. H. Hausecker, Radio...
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Rafael Arthur Rocha Miranda, Francisco Assis da Silva, Mário Augusto Pazoti, Almir Olivette Artero et al. • Colloquium Exactarum
(2013)
The handwritten character recognition in digital images is an important and challenging area of
study in Computer Vision, with several possibilities for applications to facilitate the daily work of
the people. This paper presents an alg...
DOAJ
Open Access (DOAJ)
DOI: 10.5747/ce.2013.v05.n2.e062
David M. Skapura (1995)
Foundations. Motivation. Neural-Network Fundamentals. Single Neuron Computations. Network Computations. Network Simulation. Foundations Summary. Suggested Readings. Bibliography. Paradigms. The Backpropagation Network. The Counterpropagatio...
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A.K. Jain, Jianchang Mao, K.M. Mohiuddin • Computer
(1996)
Artificial neural nets (ANNs) are massively parallel systems with large numbers of interconnected simple processors. The article discusses the motivations behind the development of ANNs and describes the basic biological neuron and the arti...
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DOI: https://doi.org/10.1109/2.485891
Dan W. Hammerstrom • IEEE Spectrum
(1993)
The benefits of neural networks and the types of application for which they are suited are outlined. Four representative applications are described in enough detail to show how they work. They are character recognition, function estimation,...
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DOI: https://doi.org/10.1109/6.214579
Jishi Zheng, Junhui Li, Zhigang Ding, Linghua Kong et al. • Connection Science
(2023)
To prevent products with missing character information from reaching the market, manufacturers need an automatic character recognition method. One of the key problems of this recognition method is to recognise text under complex package pat...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/09540091.2023.2202363
François Chollet (2017)
DESCRIPTION Deep learning is applicable to a widening range of artificial intelligence problems, such as image classification, speech recognition, text classification, question answering, text-to-speech, and optical character recognition. D...
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