A hybrid approach of density-based topology, multilayer perceptron, and water cycle-moth flame algorithm for multi-stage optimal design of a flexure mechanism
Sign Up to like & getrecommendations! 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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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
Multilayer perceptron neural networking for prediction of quality attributes of spray-dried vegetable oil powder
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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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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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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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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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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
Second Order Training and Sizing for the Multilayer Perceptron
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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
Multilayer perceptron based deep neural network for early detection of coronary heart disease
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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
Multilayer Perceptron and Chebyshev Polynomials Based Neural Network for Solving Emden–Fowler Type Initial Value Problems
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DOI: 10.1007/s40819-020-00914-2
Abstract: Present study is devoted to solve singular non-linear differential equations and system of singular non-linear differential equations of Emden–Fowler type using the Multilayer perceptron and Chebyshev polynomials based functional link neural network techniques. We are… read more here.
Keywords: polynomials based; network; multilayer perceptron; chebyshev polynomials ... See more keywords
Improving the Diagnosis of Liver Disease Using Multilayer Perceptron Neural Network and Boosted Decision Trees
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DOI: 10.1007/s40846-017-0360-z
Abstract: Early detection of liver disease is never easy, though it is one of the most important diseases on earth. This study, thus, attempts to achieve efficient early detection through a Multilayer Perceptron Neural Network (MLPNN)… read more here.
Keywords: neural network; multilayer perceptron; perceptron neural; disease ... See more keywords