Articles with "multilayer perceptron" as a keyword



Optimized Multilayer Perceptron for Sensorimotor Functional Mapping Based on a Few Minutes of Intracranial Electroencephalogram Data

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Published in 2024 at "Annals of Neurology"

DOI: 10.1002/ana.26915

Abstract: Using 6‐minute free‐running intracranial‐electroencephalogram (icEEG) during sleep, an optimized multilayer perceptron (MLP) neural network accurately maps the sensorimotor cortex (SM) and identifies the anterior lip of the central sulcus (CS) in intractable epilepsy patients. We… read more here.

Keywords: optimized multilayer; multilayer perceptron; intracranial electroencephalogram;

A hybrid approach of density-based topology, multilayer perceptron, and water cycle-moth flame algorithm for multi-stage optimal design of a flexure mechanism

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Published in 2021 at "Engineering With Computers"

DOI: 10.1007/s00366-021-01417-4

Abstract: This article develops an optimal design method with multiple stages for a flexure mechanism. This mechanism can be employed as a rotary joint or a torsional spring. The developed method is a hybridization of density-based… read more here.

Keywords: flexure mechanism; topology; multilayer perceptron; mechanism ... See more keywords

An unsupervised learning approach for multilayer perceptron networks

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Published in 2019 at "Soft Computing"

DOI: 10.1007/s00500-018-3655-2

Abstract: Multilayer perceptron networks have been designed to solve supervised learning problems in which there is a set of known labeled training feature vectors. The resulting model allows us to infer adequate labels for unknown input… read more here.

Keywords: multilayer perceptron; unsupervised learning; model; perceptron networks ... See more keywords
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Multilayer perceptron neural networking for prediction of quality attributes of spray-dried vegetable oil powder

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Published in 2020 at "Soft Computing"

DOI: 10.1007/s00500-019-04494-2

Abstract: In this study, the multilayer perceptron (MLP) artificial neural networks (ANN) method was used to predict the various physiochemical attributes based on spray drying conditions for microencapsulated synergistic vegetable oil blend. This article also presents… read more here.

Keywords: quality attributes; multilayer perceptron; vegetable oil; prediction ... See more keywords

Crosstalk modeling in high-speed transmission lines by multilayer perceptron neural networks

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Published in 2019 at "Neural Computing and Applications"

DOI: 10.1007/s00521-019-04252-3

Abstract: Signal degradation due to crosstalk-related issues has become increasingly important particularly in high-speed signal transmissions. Conventional analysis of crosstalk requires a full electromagnetic modeling of the signal transmission path along with a time-domain transient simulation… read more here.

Keywords: neural networks; transmission; multilayer perceptron; perceptron neural ... See more keywords

Estimation of metal elements content in soil using x-ray fluorescence based on multilayer perceptron

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Published in 2022 at "Environmental Monitoring and Assessment"

DOI: 10.1007/s10661-022-09750-x

Abstract: X-ray fluorescence (XRF) is widely used to rapidly detect heavy metals in soil. Spectra processing has been an important research topic to improve accuracy. In this study, 80 soil samples were analyzed by XRF under… read more here.

Keywords: ray fluorescence; soil; multilayer perceptron; metal elements ... See more keywords

Multimedia-oriented action recognition in Smart City-based IoT using multilayer perceptron

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Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6919-z

Abstract: The Internet of Things (IoT) devices and technologies for smart city applications produces a vast amount of multimedia data (e.g., audio, video, image, text and sensorial data), such big data are difficult to handle with… read more here.

Keywords: methodology; multilayer perceptron; recognition; multimedia ... See more keywords

Hyperconic Multilayer Perceptron

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Published in 2017 at "Neural Processing Letters"

DOI: 10.1007/s11063-016-9505-2

Abstract: This paper introduces the design of the hyperconic multilayer perceptron (HC-MLP). Complex non-linear decision regions for classification purposes are generated by quadratic hyper-surfaces spawned by the hyperconic neurons in the hidden layer (for instance, spheres,… read more here.

Keywords: multilayer perceptron; mlp; hyperconic multilayer; multilayer ... See more keywords
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Second Order Training and Sizing for the Multilayer Perceptron

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Published in 2019 at "Neural Processing Letters"

DOI: 10.1007/s11063-019-10116-7

Abstract: An algorithm is developed for automated training of a multilayer perceptron with two nonlinear layers. The initial algorithm approximately minimizes validation error with respect to the numbers of both hidden units and training epochs. A… read more here.

Keywords: second order; multilayer perceptron; training; order training ... See more keywords
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Multilayer perceptron based deep neural network for early detection of coronary heart disease

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Published in 2020 at "Health and Technology"

DOI: 10.1007/s12553-020-00509-3

Abstract: Coronary heart disease leads to a high mortality rate worldwide. Owing to delays in its detection, its treatment becomes challenging with little chances of recovery in many cases. An efficient, early-stage detection method is therefore… read more here.

Keywords: detection; heart; multilayer perceptron; heart disease ... See more keywords

Acoustic impedance prediction based on extended seismic attributes using multilayer perceptron, random forest, and extra tree regressor algorithms

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Published in 2024 at "Journal of Petroleum Exploration and Production Technology"

DOI: 10.1007/s13202-024-01795-7

Abstract: Acoustic impedance is the product of the density of a material and the speed at which an acoustic wave travels through it. Understanding this relationship is essential because low acoustic impedance values are closely associated… read more here.

Keywords: extra tree; acoustic impedance; impedance; seismic attributes ... See more keywords