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   Articles with "backpropagation" as a keyword



Adaptive memetic method of multi-objective genetic evolutionary algorithm for backpropagation neural network

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recommendations! Published in 2019 at "Neural Computing and Applications"

DOI: 10.1007/s00521-018-03990-0

Abstract: In recent years, multi-objective evolutionary optimization algorithms have shown success in different areas of research. Due to their efficiency and power, many researchers have concentrated on adapting evolutionary algorithms to generate Pareto solutions. This paper… read more here.

Keywords: algorithm; network; multi objective; method ... See more keywords

Hybrid no-propagation learning for multilayer neural networks

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recommendations! Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.08.034

Abstract: Abstract A hybrid learning algorithm suitable for hardware implementation of multi-layer neural networks is proposed. Though backpropagation is a powerful learning method for multilayer neural networks, its hardware implementation is difficult due to complexities of… read more here.

Keywords: neural networks; hybrid propagation; multilayer neural; backpropagation ... See more keywords

Memorized Sparse Backpropagation

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recommendations! Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2020.08.055

Abstract: Abstract Neural network learning is usually time-consuming since backpropagation needs to compute full gradients and backpropagate them across multiple layers. Despite its success of existing works in accelerating propagation through sparseness, the relevant theoretical characteristics… read more here.

Keywords: sparse backpropagation; backpropagation; memorized sparse; loss ... See more keywords

Deep Learning Empowered Sub-Diffraction Terahertz Backpropagation Single-Pixel Imaging

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recommendations! Published in 2025 at "ACS Photonics"

DOI: 10.1021/acsphotonics.5c01060

Abstract: Terahertz single-pixel imaging (THz SPI) has garnered widespread attention for its potential to overcome challenges associated with THz focal plane arrays. However, the inherently long wavelength of THz waves limits imaging resolution, while achieving subwavelength… read more here.

Keywords: field; single pixel; diffraction; spi ... See more keywords

Inferring neural activity before plasticity as a foundation for learning beyond backpropagation

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recommendations! Published in 2024 at "Nature Neuroscience"

DOI: 10.1038/s41593-023-01514-1

Abstract: This paper introduces ‘prospective configuration’, a new principle for learning in neural networks, which differs from backpropagation and is more efficient in learning and more consistent with data on neural activity and behavior. For both… read more here.

Keywords: credit assignment; prospective configuration; backpropagation; neural activity ... See more keywords

Intelligent computing for electromagnetohydrodynamic bioconvection flow of micropolar nanofluid with thermal radiation and stratification: Levenberg–Marquardt backpropagation algorithm

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recommendations! Published in 2024 at "AIP Advances"

DOI: 10.1063/5.0187124

Abstract: The Levenberg–Marquardt (LM) backpropagation optimization algorithm, an artificial neural network algorithm, is used in this study to perform integrated numerical computing to evaluate the electromagnetohydrodynamic bioconvection flow of micropolar nanofluid with thermal radiation and stratification.… read more here.

Keywords: algorithm; artificial neural; model; backpropagation ... See more keywords

Continual Learning with Speculative Backpropagation and Activation History

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3166158

Abstract: Continual learning is gaining traction these days with the explosive emergence of deep learning applications. Continual learning suffers from a severe problem called catastrophic forgetting. It means that the trained model loses the previously learned… read more here.

Keywords: speculative backpropagation; backpropagation activation; continual learning; backpropagation ... See more keywords

Alpha-Backpropagation Algorithm: Probability Estimation for One-Hot and Quasi-One-Hot Teachers

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3571404

Abstract: This study proposes theories and applications of probabilistic divergences to neural network training. This theory generalizes the cross-entropy method for backpropagation to the alpha-divergence method. This new method includes the cross-entropy method as a limited… read more here.

Keywords: method; probability; quasi one; one hot ... See more keywords

A New Twist on Low-Complexity Digital Backpropagation

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recommendations! Published in 2024 at "Journal of Lightwave Technology"

DOI: 10.1109/jlt.2025.3542166

Abstract: This work proposes a novel low-complexity digital backpropagation (DBP) method, with the goal of optimizing the trade-off between backpropagation accuracy and complexity. The method combines a split step Fourier method (SSFM)-like structure with a simplified… read more here.

Keywords: complexity digital; method; complexity; backpropagation ... See more keywords

Inverse Source Problem for a Host Medium Having Pointlike Inhomogeneities

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recommendations! Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2018.2809913

Abstract: The reconstruction of a source embedded within a multipath environment, which is created by inserting a grid of point scatterers in the scene, is addressed. In particular, the source Fourier spectrum is assumed known so… read more here.

Keywords: resolution; source; inverse source; resolution improvement ... See more keywords

Levenberg–Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System

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recommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2017.2777460

Abstract: As an important safety-critical cyber-physical system (CPS), the braking system is essential to the safe operation of the electric vehicle. Accurate estimation of the brake pressure is of great importance for automotive CPS design and… read more here.

Keywords: estimation; system; critical cyber; safety critical ... See more keywords