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Showing 20 of 1,964 academic articles
Zhi‐Hua Zhou • Journal of Computer Science and Technology
(2004)
OPENALEX
DOI: https://doi.org/10.1007/bf02944803
• Control Engineering Practice
(1994)
OPENALEX
DOI: https://doi.org/10.1016/0967-0661(94)90338-7
Chris Bishop (1995)
Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes technique...
OPENALEX
DOI: https://doi.org/10.1093/oso/9780198538493.001.0001
Kazuyuki Aihara, T. Takabe, M. Toyoda • Physics Letters A
(1990)
OPENALEX
DOI: https://doi.org/10.1016/0375-9601(90)90136-c
(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...
OPENALEX
DOI: https://doi.org/10.1109/etd.1995.403491
Laurene V. Fausett • CERN Document Server (European Organization for Nuclear Research)
(1994)
1. Introduction. 2. Simple Neural Nets for Pattern Classification. 3. Pattern Association. 4. Neural Networks Based on Competition. 5. Adaptive Resonance Theory. 6. Backpropagation Neural Net. 7. A Sampler of Other Neural Nets. Glossary. Re...
OPENALEX
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 ...
OPENALEX
Open Access
DOI: https://doi.org/10.22214/ijraset.2021.37362
Raban Iten, Tony Metger, Henrik Wilming, Lídia del Rio et al. • Physical Review Letters
(2020)
Despite the success of neural networks at solving concrete physics problems, their use as a general-purpose tool for scientific discovery is still in its infancy. Here, we approach this problem by modeling a neural network architecture afte...
OPENALEX
Open Access
DOI: https://doi.org/10.1103/physrevlett.124.010508
Brian David Ripley • Cambridge University Press eBooks
(1996)
This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled coverage and a wealth of case-studies this book gives valuable insight into both the theory and the enormously...
OPENALEX
DOI: https://doi.org/10.1017/cbo9780511812651
D.R. Baughman, Y. A. Liu • Elsevier eBooks
(1995)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/c2009-0-21189-5
S. Haykin (2010)
OPENALEX
Ryszard Tadeusiewicz • Control Engineering Practice
(1995)
OPENALEX
DOI: https://doi.org/10.1016/0967-0661(95)90080-2
Hojjat Adeli • Computer-Aided Civil and Infrastructure Engineering
(2001)
The first journal article on neural network application in civil/structural engineering was published by in this journal in 1989. This article reviews neural network articles published in archival research journals since then. The emphasis ...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1111/0885-9507.00219
Mark S. Dougherty • Transportation Research Part C Emerging Technologies
(1995)
OPENALEX
DOI: https://doi.org/10.1016/0968-090x(95)00009-8
• Advanced topics in science and technology in China
(2009)
OPENALEX
DOI: https://doi.org/10.1007/978-3-540-73762-9_2
Hal S. Stern • Technometrics
(1996)
Artificial neural networks are computer algorithms or computer programs derived in part from attempts to model the activity of nerve cells. They have been applied to pattern recognition, classification, and optimization problems in the phys...
OPENALEX
DOI: https://doi.org/10.1080/00401706.1996.10484497
Philip J Drew, Leonardo Bottaci, Graeme Scott Duthie, John R.T. Monson • The Lancet
(1997)
OPENALEX
DOI: https://doi.org/10.1016/s0140-6736(05)63820-2
M. V. Altaĭsky • arXiv (Cornell University)
(2001)
It is suggested that a quantum neural network (QNN), a type of artificial neural network, can be built using the principles of quantum information processing. The input and output qubits in the QNN can be implemented by optical modes with d...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.quant-ph/0107012
Brad Warner, Manavendra Misra • The American Statistician
(1996)
Neural networks have received a great deal of attention over the last few years. They are being used in the areas of prediction and classification, areas where regression models and other related statistical techniques have traditionally be...
OPENALEX
DOI: https://doi.org/10.1080/00031305.1996.10473554
Rafael Yuste • Nature reviews. Neuroscience
(2015)
OPENALEX
DOI: https://doi.org/10.1038/nrn3962