Propagating Synchrony in Feed-Forward Networks [PDF]
Frontiers in Computational Neuroscience, 2013 Coordinated patterns of precisely timed action potentials (spikes) emerge in a variety of neural circuits but their dynamical originis still not well understood.
Sven eJahnke +6 more
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Prediction of strength parameters of concrete containing different additives using optimized neural network algorithm [PDF]
Numerical Methods in Civil Engineering, 2023 In this research, a multilayer feed-forward backpropagation error neural network has been used to predict the strength parameters of a concrete sample containing different additives.
Behzad Haseli +4 more
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Forecasting Quoted Depth With the Limit Order Book
Frontiers in Artificial Intelligence, 2021 Liquidity plays a vital role in the financial markets, affecting a myriad of factors including stock prices, returns, and risk. In the stock market, liquidity is usually measured through the order book, which captures the orders placed by traders to buy ...
Daniel Libman, Simi Haber, Mary Schaps
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Finding input-output dependencies of feed forward neural networks [PDF]
MATEC Web of Conferences, 2022 In this paper we are finding input-output dependencies of feed-forward neural network which usually behaves as black box. It is very important and difficult to find or evaluate those dependencies especially for multi-input/output data approximation.
Stenchlák Vladimír +2 more
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The Effect of Feed Forward Augmented Information in Model Observation on Learning Mini Basketball Penalty Free Throw Skill in Children [PDF]
رشد و یادگیری حرکتی ورزشی, 2018 The aim of this study was to investigate the effect of feed forward augmented information in model observation on learning mini basketball free throw skill in children.
Mohammad Hossein Zamani +2 more
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Artificial Neural Networking (ANN) Model for Drag Coefficient Optimization for Various Obstacles
Mathematics, 2022 For various obstacles in the path of a flowing liquid stream, an artificial neural networking (ANN) model is constructed to study the hydrodynamic force depending on the object. The multilayer perceptron (MLP), back propagation (BP), and feed-forward (FF)
Khalil Ur Rehman +2 more
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Enhancing written feedback: The use of a cover sheet influences feedback quality
Cogent Education, 2021 Feedback can be effective to student learning if the feedback practice meets several success criteria. It appears, however, that it is not easy to put insights from theory into practice.
J.G. Arts +2 more
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Prediction of the binary density of the ILs+ water using back-propagated feed forward artificial neural network [PDF]
Chemical Industry and Chemical Engineering Quarterly, 2014 In this study, feasibility of a back-propagated artificial neural network to correlate the binary density of ionic liquids (ILs) mixtures containing water as the common solvent has been investigated.
Shojaee Safar Ali +3 more
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Behavioural variation among workers promotes feed-forward loops in a simulated insect colony
Royal Society Open Science, 2022 Coordinated responses in eusocial insect colonies arise from worker interaction networks that enable collective processing of ecologically relevant information. Previous studies have detected a structural motif in these networks known as the feed-forward
Carrie Easter +2 more
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Systematic analysis of noise reduction properties of coupled and isolated feed-forward loops.
PLoS Computational Biology, 2021 Cells can maintain their homeostasis in a noisy environment since their signaling pathways can filter out noise somehow. Several network motifs have been proposed for biological noise filtering and, among these, feed-forward loops have received special ...
Suchana Chakravarty +1 more
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