Results 31 to 40 of about 8,474,325 (290)
Software Toolkit For Designing An Artificial Neural Network. [PDF]
, 2004 Basically, there are two kinds of artificial neural network (ANN), which can be classified into supervised and unsupervised. Commonly, supervised neural networks are trained or weights adjusted, so that a particular input leads to a specific target ...
Ahmad, M. A., Saleh, J Mohamad
core +1 more source
Sensors, 2019 The concept presented in this paper is based on previous dynamical methods to realize a time-varying matrix inversion. It is essentially a set of coupled ordinary differential equations (ODEs) which does indeed constitute a recurrent neural network (RNN)
Vahid Tavakkoli +2 more
doaj +1 more source
Design and Analysis of Two FTRNN Models With Application to Time-Varying Sylvester Equation
IEEE Access, 2019 In this paper, to accelerate the convergence speed of Zhang neural network (ZNN), two finite-time recurrent neural networks (FTRNNs) are presented via devising two novel design formulas.
Jie Jin, Lin Xiao, Ming Lu, Jichun Li
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A comment on ‘Absolute stability of a class of neural networks with unbounded delay’ by J. Zhang [PDF]
International Journal of Circuit Theory and Applications, 2004 An error in the proof of a theorem of the above paper [ibid. 32, 11--21 (2004; Zbl 1037.93071)] is corrected.
openaire +3 more sources
Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus
Nature Communications, 2018 Despite its popularity for measuring the spatial organization of mammalian genomes, the resolution of most Hi-C datasets is coarse due to sequencing cost. Here, Zhang et al.
Yan Zhang +7 more
doaj +1 more source
Noise-tolerant continuous-time Zhang neural networks for time-varying Sylvester tensor equations
Advances in Difference Equations, 2019 In this paper, to solve the time-varying Sylvester tensor equations (TVSTEs) with noise, we will design three noise-tolerant continuous-time Zhang neural networks (NTCTZNNs), termed NTCTZNN1, NTCTZNN2, NTCTZNN3, respectively.
Sun Min, Liu Jing
doaj +1 more source
Achieving Fairness with Decision Trees: An Adversarial Approach
Data Science and Engineering, 2020 Fair classification has become an important topic in machine learning research. While most bias mitigation strategies focus on neural networks, we noticed a lack of work on fair classifiers based on decision trees even though they have proven very ...
Vincent Grari +3 more
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Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
Aging and Cancer, EarlyView.This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
A low-cost neural sorting network with O(1) time complexity [PDF]
, 2011 [[abstract]]In this paper, we present an O(1) time neural network with O(n1 + var epsilon) neurons and links to sort n data, var epsilon > 0. For large-size problems, it is desirable to have low-cost hardware solutions.
Lin, Shun-Shii;Hsu, Shen-Hsuan
core
Neural Network Characterization of Reflectarray Antennas [PDF]
, 2012 An efficient artificial neural network (ANN) approach for the modeling of reflectarray elementary components is introduced to improve the numerical efficiency of the different phases of the antenna design and optimization procedure, without loss in ...
Mussetta, Marco +8 more
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