Results 11 to 20 of about 127,617 (265)
Face Recognition Using Complex Valued Backpropagation
Jurnal Ilmu Komputer dan Informasi, 2018 Face recognition is one of biometrical research area that is still interesting. This study discusses the Complex-Valued Backpropagation algorithm for face recognition.
Zumrotun Nafisah +2 more
doaj +1 more source
A regression approach to zebra crossing detection based on convolutional neural networks
IET Cyber-systems and Robotics, 2021 Zebra crossing detection is a fundamental function of the electronic travel aid. It can locate the zebra crossing and estimate its direction to help the visually impaired to cross the road safely.
Xue‐Hua Wu, Renjie Hu, Yu‐Qing Bao
doaj +1 more source
Prediction of Salinity Based on Meteorological Data Using the Backpropagation Neural Network Method
Ilmu Kelautan, 2021 Salinity is the level of salt dissolved in water. The salinity level of seawater can affect the hydrological balance and climate change. The salinity level of seawater in each area varies depending on the influencing factors, that is evaporation and ...
Anisa Nur Azizah +4 more
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Direct Feedback Alignment with Sparse Connections for Local Learning [PDF]
, 2019 Recent advances in deep neural networks (DNNs) owe their success to training algorithms that use backpropagation and gradient-descent. Backpropagation, while highly effective on von Neumann architectures, becomes inefficient when scaling to large ...
Crafton, Brian +3 more
core +2 more sources
Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks [PDF]
, 2017 Artificial neural networks (ANNs) trained using backpropagation are powerful learning architectures that have achieved state-of-the-art performance in various benchmarks.
Cauwenberghs, Gert +3 more
core +2 more sources
Earth and Space Science, 2021 As the amount of published geoscience literature grows, reading and summarizing texts of large collections has become a challenging task. Publication keywords can be considered basic components of knowledge structure representations and have been used to
Qinjun Qiu +3 more
doaj +1 more source
Gradients without Backpropagation
, 2022 Using backpropagation to compute gradients of objective functions for optimization has remained a mainstay of machine learning. Backpropagation, or reverse-mode differentiation, is a special case within the general family of automatic differentiation algorithms that also includes the forward mode.
Baydin, AG +4 more
openaire +3 more sources
Water quality prediction method based on preferred classification
IET Cyber-Physical Systems, 2020 Water quality monitoring and prediction are important parts of Cyber Physical Systems. Considering the complexity, diversity, and strong non-linearity of water quality data, a single water quality prediction model is difficult to have a significant ...
Liming Sheng +4 more
doaj +1 more source
Spiking Autoencoders With Temporal Coding
Frontiers in Neuroscience, 2021 Spiking neural networks with temporal coding schemes process information based on the relative timing of neuronal spikes. In supervised learning tasks, temporal coding allows learning through backpropagation with exact derivatives, and achieves ...
Iulia-Maria Comşa +3 more
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Improved Lower Bounds on Mutual Information Accounting for Nonlinear Signal-Noise Interaction [PDF]
, 2018 In fiber-optic communications, evaluation of mutual information (MI) is still an open issue due to the unavailability of an exact and mathematically tractable channel model.
Agrell, Erik +4 more
core +2 more sources