A micromechanics‐based recurrent neural networks model for path‐dependent cyclic deformation of short fiber composites
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
A Gradient-Based Recurrent Neural Network for Visual Servoing of Robot Manipulators with Acceleration Command
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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
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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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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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