A brief review of neural networks based learning and control and their applications for robots
type: Item
instance of: scholarly article
title: A brief review of neural networks based learning and control and their applications for robots
zbMATH Open document ID: 1377.93079
DOI: 10.1155/2017/1895897
author: Peng Zhang
published in: Complexity
publication date: 2018-01-03T00:00:00Z
review text: Summary: As an imitation of the biological nervous systems, neural networks (NNs), which have been characterized as powerful learning tools, are employed in a wide range of applications, such as control of complex nonlinear systems, optimization, system identification, and pattern recognition. This article aims to bring a brief review of the state-of-the-art NNs for the complex nonlinear systems by summarizing recent progress of NNs in both theory and practical applications. Specifically, this survey also reviews a number of NN based robot control algorithms, including NN based manipulator control, NN based human-robot interaction, and NN based cognitive control.
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 93C85
zbMATH DE Number: 6821569
zbMATH Keywords: neural networks (NNs)
zbMATH Keywords: complex nonlinear systems
zbMATH Keywords: optimization
zbMATH Keywords: system identification
zbMATH Keywords: pattern recognition
zbMATH Keywords: robot control
describes a project that uses: ImageNet
describes a project that uses: AlexNet
describes a project that uses: darch
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/1895897
OpenAlex ID: W2765544393
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description: scientific article; zbMATH DE number 6821569