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Academic Articles & Research Papers
Showing 20 of 3,812 academic articles
J. Lee, Ronald C. Weger, S.K. Sengupta, Ronald M. Welch • IEEE Transactions on Geoscience and Remote Sensing
(1990)
It is shown that, using high-spatial-resolution data, very high cloud classification accuracies can be obtained with a neural network approach. A texture-based neural network classifier using only single-channel visible Landsat MSS imagery ...
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DOI: https://doi.org/10.1109/36.58972
Hervé Abdi • Journal of Biological Systems
(1994)
Neural networks are composed of basic units somewhat analogous to neurons. These units are linked to each other by connections whose strength is modifiable as a result of a learning process or algorithm. Each of these units integrates indep...
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DOI: https://doi.org/10.1142/s0218339094000179
S. Reynold Chu, Rahmat A. Shoureshi, Manoel Fernando Tenorio • IEEE Control Systems Magazine
(1990)
Two approaches are presented for utilization of neural networks in identification of dynamical systems. In the first approach, a Hopfield network is used to implement a least-squares estimation for time-varying and time-invariant systems. T...
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DOI: https://doi.org/10.1109/37.55121
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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Gavin Taylor • John Wiley & Sons, Inc. eBooks
(1996)
From the Publisher:
The chapters in this volume are an indication of the vigour and strength of the subject of neural networks in solving hard problems. They also indicate how the subject is giving new insights and developing new relations...
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Bing Cheng, D. Michael Titterington • Statistical Science
(1994)
This paper informs a statistical readership about Artificial Neural Networks (ANNs), points out some of the links with statistical methodology and encourages cross-disciplinary research in the directions most likely to bear fruit. The areas...
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Open Access
DOI: https://doi.org/10.1214/ss/1177010638
Dong-Ling Deng, Xiaopeng Li, S. Das Sarma • Physical Review X
(2017)
Machine learning has recently gained attention as a possible way to understand phase transitions in many-body quantum systems. A new entanglement analysis reveals crucial properties of the data structures that encode quantum states in a neu...
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DOI: https://doi.org/10.1103/physrevx.7.021021
James Cannady (1998)
Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of rule-based expe...
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Daniel J. Amit, Hanoch Gutfreund, Haim Sompolinsky • Physical Review A
(1985)
Two dynamical models, proposed by Hopfield and Little to account for the collective behavior of neural networks, are analyzed. The long-time behavior of these models is governed by the statistical mechanics of infinite-range Ising spin-glas...
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DOI: https://doi.org/10.1103/physreva.32.1007
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...
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DOI: https://doi.org/10.1080/00031305.1996.10473554
Paul Refenes • Wiley eBooks
(1995)
PART ONE: NEURAL NETWORKS: Introduction Design Considerations Methods for Optimal Network Design Data Modelling Considerations Testing Strategies and Metrics PART TWO: EQUITY APPLICATIONS: Modelling Stock Returns in the Framework of APT: A ...
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Ayan Mukherjee (2018)
As famously quoted by Margaret Heffernan: - “A great deal of creativity is about pattern recognition, and what you need to discern patterns is tons of data. Your mind collects that data by taking note of random details and anomalies easily ...
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Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna et al. • arXiv (Cornell University)
(2013)
Deep neural networks are highly expressive models that have recently achieved state of the art performance on speech and visual recognition tasks. While their expressiveness is the reason they succeed, it also causes them to learn uninterpr...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1312.6199
• Choice Reviews Online
(1993)
From the Publisher:
Artificial neural networks can be employed to solve a wide spectrum of problems in optimization, parallel computing, matrix algebra and signal processing. Taking a computational approach, this book explains how ANNs pro...
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DOI: https://doi.org/10.5860/choice.31-2156
Umberto Michelucci • Apress eBooks
(2018)
Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks, in this compr...
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Open Access
DOI: https://doi.org/10.1007/978-1-4842-3790-8
Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence
(2022)
In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, par...
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Open Access
DOI: https://doi.org/10.1109/tpami.2022.3218591
LIN Yan, JIN Tingyu, YANG Yuchao • Shanghai Jiaotong Daxue xuebao
(2024)
Aimed at the problem of low efficiency of ship pipeline design, an optimization method of pipeline layout is proposed. An optimization mathematical model is established by comprehensively considering the engineering background of safety, ec...
DOAJ
Open Access (DOAJ)
DOI: 10.16183/j.cnki.jsjtu.2022.508
Masoud Seifi, Shirin Farivar, Malihe Sadat Mirhosseini, Atefe Ahmadvand • Regeneration, Reconstruction & Restoration
(2020)
Introduction: Stem cells have gained great attention in tissue engineering and curcumin is a natural phenolic product that had showed some positive effects on these cells. The aim of this study was to evaluate the effect of curcumin on the ...
DOAJ
Open Access (DOAJ)
DOI: 10.22037/rrr.v5i.31127
Karen I. Stocks, Sam Schramski, Arika Virapongse, Lisa Kempler • Data Science Journal
(2019)
Cyberinfrastructure (CI) is a standard tool in the geosciences, but the creation of successful CI remains difficult, and expensive projects can have significant consequences for scientific communities if they do not result in success. In th...
DOAJ
Open Access (DOAJ)
DOI: 10.5334/dsj-2019-021
Parinaz Tabrizi-Nezhadi, Habib MotieGhader, Masoud Maleki, Soner Sahin et al. • The Scientific World Journal
(2023)
Cervical cancer (CC) is one of the world’s most common and severe cancers. This cancer includes two histological types: squamous cell carcinoma (SCC) and adenocarcinoma (ADC). The current study aims at identifying novel potential candidate ...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2023/6626279