Results 21 to 30 of about 389,041 (190)
Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling [PDF]
, 2000 Copyright @ 2000 IEEEThis paper presents a constraint satisfaction adaptive neural network, together with several heuristics, to solve the generalized job-shop scheduling problem, one of NP-complete constraint satisfaction problems.
Wang, D, Yang, S
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Designing Trojan Detectors in Neural Networks Using Interactive Simulations
Applied Sciences, 2021 This paper addresses the problem of designing trojan detectors in neural networks (NNs) using interactive simulations. Trojans in NNs are defined as triggers in inputs that cause misclassification of such inputs into a class (or classes) unintended by ...
Peter Bajcsy +2 more
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Modeling of interstitial branching of axonal networks [PDF]
, 2013 A single axon can generate branches connecting with plenty synaptic targets. Process of branching is very important for making connections in central nervous system.
Gafarov, F. +2 more
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An efficient analytical reduction of detailed nonlinear neuron models
Nature Communications, 2020 Realistic simulations of neurons and neural networks are key for understanding neural computations. Here the authors describe Neuron_Reduce, an analytic approach to simplify neurons receiving thousands of synapses and accelerate their simulations by 40 ...
Oren Amsalem +6 more
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Equation-oriented specification of neural models for simulations
Frontiers in Neuroinformatics, 2014 Simulating biological neuronal networks is a core method of research in computational neuroscience. A full specification of such a network model includes a description of the dynamics and state changes of neurons and synapses, as well as the synaptic ...
Marcel eStimberg +7 more
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Improved neural network Monte Carlo simulation [PDF]
SciPost Physics, 2021 The algorithm for Monte Carlo simulation of parton-level events based on an Artificial Neural Network (ANN) proposed in Ref.~ is used to perform a simulation of H\to 4\ell H
Chen, I-Kai +2 more
openaire +3 more sources
Comparison of IT Neural Response Statistics with Simulations
Frontiers in Computational Neuroscience, 2017 Lehky et al. (2011) provided a statistical analysis on the responses of the recorded 674 neurons to 806 image stimuli in anterior inferotemporalm (AIT) cortex of two monkeys.
Qiulei Dong +7 more
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The SUMO toolbox: a tool for automatic regression modeling and active learning [PDF]
, 2013 Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alternative.
Couckuyt, Ivo +4 more
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Using neural networks to improve simulations in the gray zone [PDF]
Nonlinear Processes in Geophysics, 2022 Machine learning represents a potential method to cope with the gray zone problem of representing motions in dynamical systems on scales comparable to the model resolution.
R. Kriegmair +3 more
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Metastable dynamics in heterogeneous neural fields
Frontiers in Systems Neuroscience, 2015 We present numerical simulations of metastable states in heterogeneous neural fields that are connected along heteroclinic orbits. Such trajectories are possible representations of transient neural activity as observed, for example, in the ...
Cordula eSchwappach +2 more
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