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Preventing Vanishing Gradient Problem of Hardware Neuromorphic System by Implementing Imidazole‐Based Memristive ReLU Activation Neuron

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Deep learning for computational chemistry
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The roles of mercapto, benzene, and methyl groups in the corrosion inhibition of imidazoles on copper: II. Inhibitor–copper bonding
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Imidazole derivatives as corrosion inhibitors for copper: A DFT and reactive force field study
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Learning in Memristive Neural Network Architectures Using Analog Backpropagation Circuits
inferredcites →https://doi.org/10.3389/fnins.2013.00118openalex-snapshot
Finding a roadmap to achieve large neuromorphic hardware systems

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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