Articles with "based recurrent" as a keyword



A micromechanics‐based recurrent neural networks model for path‐dependent cyclic deformation of short fiber composites

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Published in 2022 at "International Journal for Numerical Methods in Engineering"

DOI: 10.1002/nme.7211

Abstract: The macroscopic response of short fiber reinforced composites (SFRCs) is dependent on an extensive range of microstructural parameters. Thus, micromechanical modeling of these materials is challenging and in some cases, computationally expensive. This is particularly… read more here.

Keywords: path dependent; short fiber; neural networks; micromechanics based ... See more keywords

Exponential stability analysis for delayed complex-valued memristor-based recurrent neural networks

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Published in 2017 at "Neural Computing and Applications"

DOI: 10.1007/s00521-017-3166-6

Abstract: The exponential stability problem for complex-valued memristor-based recurrent neural networks (CVMRNNs) with time delays is studied in this paper. As an extension of real-valued memristor-based recurrent neural networks, CVMRNNs can be separated into real and… read more here.

Keywords: valued memristor; based recurrent; memristor based; complex valued ... See more keywords

UAV Coverage Path Planning With Quantum-Based Recurrent Deep Deterministic Policy Gradient

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Published in 2024 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2023.3347219

Abstract: This study proposes quantum-based deep deterministic policy gradient (Q-DDPG) and quantum-based recurrent DDPG (Q-RDDPG) schemes for time-series optimization in UAV communications. Herein, Q-DDPG-based actor-critic reinforcement learning is utilized to optimize action selections in a large… read more here.

Keywords: policy gradient; deep deterministic; quantum based; deterministic policy ... See more keywords

A Gradient-Based Recurrent Neural Network for Visual Servoing of Robot Manipulators with Acceleration Command

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Published in 2020 at "Complexity"

DOI: 10.1155/2020/2305459

Abstract: Recent decades have witnessed the rapid evolution of robotic applications and their expansion into a variety of spheres with remarkable achievements. This article researches a crucial technique of robot manipulators referred to as visual servoing,… read more here.

Keywords: based recurrent; gradient based; recurrent neural; robot manipulators ... See more keywords

Diabetes Prediction Using Parametric Swish-based Recurrent Neural Network

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Published in 2024 at "International Journal of Intelligent Engineering and Systems"

DOI: 10.22266/ijies2024.1031.40

Abstract: : Diabetes is a globally dangerous disease characterized by decreased insulin levels and increased blood sugar which causes significant health risks and requires careful management. However, the class imbalance issue leads to a biased model… read more here.

Keywords: swish based; diabetes prediction; recurrent neural; prediction ... See more keywords

De Novo Molecular Design of Caspase-6 Inhibitors by a GRU-Based Recurrent Neural Network Combined with a Transfer Learning Approach

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Published in 2021 at "Pharmaceuticals"

DOI: 10.3390/ph14121249

Abstract: Due to their potential in the treatment of neurodegenerative diseases, caspase-6 inhibitors have attracted widespread attention. However, the existing caspase-6 inhibitors showed more or less inevitable deficiencies that restrict their clinical development and applications. Therefore,… read more here.

Keywords: caspase inhibitors; caspase; recurrent neural; gru based ... See more keywords

Mesh Denoising Based on Recurrent Neural Networks

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Published in 2022 at "Symmetry"

DOI: 10.3390/sym14061233

Abstract: Mesh denoising is a classical task in mesh processing. Many state-of-the-art methods are still unable to quickly and robustly denoise multifarious noisy 3D meshes, especially in the case of high noise. Recently, neural network-based models… read more here.

Keywords: network; neural networks; recurrent neural; based recurrent ... See more keywords