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Alex Graves • Studies in computational intelligence
(2012)
OPENALEX
DOI: https://doi.org/10.1007/978-3-642-24797-2_3
Judith E. Dayhoff, James M. DeLeo • Cancer
(2001)
Artificial neural networks now are used in many fields. They have become well established as viable, multipurpose, robust computational methodologies with solid theoretic support and with strong potential to be effective in any discipline, ...
OPENALEX
Open Access
DOI: https://doi.org/10.1002/1097-0142(20010415)91:8+<1615::aid-cncr1175>3.0.co;2-l
Sun-Chong Wang • Springer eBooks
(2003)
OPENALEX
DOI: https://doi.org/10.1007/978-1-4615-0377-4_5
Ivan Nunes da Silva, Danilo Hernane Spatti, Rogério Andrade Flauzino, Luisa Helena Bartocci Liboni et al. • Springer eBooks
(2016)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-43162-8
Martin Anthony, Peter L. Bartlett • Cambridge University Press eBooks
(1999)
First published in 1999, this book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. R...
OPENALEX
DOI: https://doi.org/10.1017/cbo9780511624216
J. J. Hopfield • IEEE Circuits and Devices Magazine
(1988)
Examines the following questions associated with artificial neural networks: why people are interested in artificial neural networks; what artificial neural networks are, from the point of view of electronic circuits, and how they work; how...
OPENALEX
DOI: https://doi.org/10.1109/101.8118
James A. Anderson • The MIT Press eBooks
(1995)
An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain funct...
OPENALEX
DOI: https://doi.org/10.7551/mitpress/3905.001.0001
Bernard Carlos Widrow, David E. Rumelhart, Michael A. Lehr • Communications of the ACM
(1994)
article Free Access Share on Neural networks: applications in industry, business and science Authors: Bernard Widrow Stanford Univ., Stanford, CA Stanford Univ., Stanford, CAView Profile , David E. Rumelhart Stanford Univ., Stanford, CA Sta...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/175247.175257
Chris M. Bishop • Review of Scientific Instruments
(1994)
Neural networks provide a range of powerful new techniques for solving problems in pattern recognition, data analysis, and control. They have several notable features including high processing speeds and the ability to learn the solution to...
OPENALEX
DOI: https://doi.org/10.1063/1.1144830
Raúl Rojas • Springer eBooks
(1996)
OPENALEX
DOI: https://doi.org/10.1007/978-3-642-61068-4
Berndt Müller, J. Reinhardt, Michael T. Strickland • Physics of neural networks
(1995)
OPENALEX
DOI: https://doi.org/10.1007/978-3-642-57760-4
Jiří Beneš • Czech digital mathematics library
(1990)
JIŘÍ BENEŠTypical neural network models representing a broad survey of actual trends are considered in an unifying way as Complexes subject to specific control systems, called Formators which may have a two-level arrangement and incorporate...
OPENALEX
Open Access
Gavin JP, Holt L, Chiu X, Dando C et al. • Health expectations : an international journal of public participation in health care and health policy
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1111/hex.70961
PMC: PMC13736783
Neale ZE, Cooke ME, Cárcamo J, Trabilsy M et al. • Genes, brain, and behavior
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1111/gbb.70068
PMC: PMC13736786
Joshi N, Semwal P, Rawat B, Kumar R et al. • Chembiochem : a European journal of chemical biology
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1002/cbic.70586
PMC: PMC13737434
Yang T, Li M, Wu X • Immunity, inflammation and disease
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1002/iid3.70567
PMC: PMC13738057
Chao Wang, Jun-Feng Hao, He Huang, Wang Zou et al. • IEEE Access
(2025)
Traffic flow forecasting is a critical and essential technology in the field of Intelligent Transportation Systems (ITS), as it plays a pivotal role in optimizing traffic management, improving road safety, and enhancing the overall efficien...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3553535
Zhangping He, Zhendong Zhang, Cheolkon Jung • IEEE Access
(2018)
In this paper, we propose fast Fourier transform networks for object tracking, called FFTNet. FFTNet is a correlation filter (CF)-based tracker that integrates two main components of CF, i.e., auto correlation and cross correlation between ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2018.2790942
Yuchao Feng, Jianwei Zheng, Mengjie Qin, Cong Bai et al. • Remote Sensing
(2021)
Owing to the outstanding feature extraction capability, convolutional neural networks (CNNs) have been widely applied in hyperspectral image (HSI) classification problems and have achieved an impressive performance. However, it is well know...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs13214407
Fathaddin Muhammad Taufiq, Sari Alvita Kumala, Sutansyah Daddy, Ulfah Baiq Maulinda et al. • E3S Web of Conferences
(2024)
Relative permeability is a substantial parameter for estimating multi-phase fluid flow in porous rocks. It is a complex physical property that is influenced by the behavior and interactions between the fluid and rock phases. Relative permea...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/e3sconf/202450003019