Search alternatives:
implement modeling » element modeling (Expand Search), element modelling (Expand Search)
modeling algorithm » making algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), finding algorithm (Expand Search), routing algorithm (Expand Search)
ore algorithm » rf algorithm (Expand Search), rl algorithm (Expand Search), erf algorithm (Expand Search)
element ore » element te (Expand Search), element fbe (Expand Search), element ree (Expand Search)
implement modeling » element modeling (Expand Search), element modelling (Expand Search)
modeling algorithm » making algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), finding algorithm (Expand Search), routing algorithm (Expand Search)
ore algorithm » rf algorithm (Expand Search), rl algorithm (Expand Search), erf algorithm (Expand Search)
element ore » element te (Expand Search), element fbe (Expand Search), element ree (Expand Search)
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Data and code resources.
Published 2025“…These findings point to a possible neural implementation of an adaptive algorithm for generalization across tasks.…”
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Comparison of power consumption in optical and silicon-based neural network implementations.
Published 2024Subjects: -
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The block diagram of the ASO algorithm implementation for inverse modeling.
Published 2025“…<p>The block diagram of the ASO algorithm implementation for inverse modeling.</p>…”
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Calculation algorithm implementing the proposed model.
Published 2025“…<p>Calculation algorithm implementing the proposed model.</p>…”
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Hardware_code.
Published 2025“…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …”
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Software_code.
Published 2025“…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …”
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Different implementations on MNIST object detection accuracy (%) with input image size.
Published 2024Subjects: -
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Accuracy of different electrical and optical neural networks for various input noise levels.
Published 2024Subjects: -
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Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets.
Published 2024Subjects: -
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Comparison of the optimal solutions between analytical model and genetic algorithm.
Published 2024Subjects: -
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Cost functions implemented in Neuroptimus.
Published 2024“…We used the common interface provided by Neuroptimus to conduct a detailed comparison of more than twenty different algorithms (and implementations) on six distinct benchmarks that represent typical scenarios in neuronal parameter search. …”