Results 1 to 10 of about 92,424 (280)

Optical Frequency Domain Reflectometry Based on Multilayer Perceptron [PDF]

open access: yesSensors, 2023
We proposed an optical frequency domain reflectometry based on a multilayer perceptron. A classification multilayer perceptron was applied to train and grasp the fingerprint features of Rayleigh scattering spectrum in the optical fiber.
Guolu Yin, Zhaohao Zhu, Min Liu
exaly   +4 more sources

Prediction model for suicide based on back propagation neural network and multilayer perceptron

open access: yesFrontiers in Neuroinformatics, 2022
IntroductionThe aim was to explore the neural network prediction model for suicide based on back propagation (BP) and multilayer perceptron, in order to establish the popular, non-invasive, brief and more precise prediction model of suicide.Materials and
Jie Zhang
exaly   +3 more sources

LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks [PDF]

open access: yesBMC Bioinformatics
Background Long non-coding RNAs (lncRNAs) can prevent, diagnose, and treat a variety of complex human diseases, and it is crucial to establish a method to efficiently predict lncRNA-disease associations.
Bing Zhang   +5 more
doaj   +2 more sources

Quaternionic Multilayer Perceptron with Local Analyticity

open access: yesInformation (Switzerland), 2012
A multi-layered perceptron type neural network is presented and analyzed in this paper. All neuronal parameters such as input, output, action potential and connection weight are encoded by quaternions, which are a class of hypercomplex number system ...
Teijiro Isokawa, Haruhiko Nishimura
exaly   +3 more sources

Detection of Breast Cancer Using Infrared Thermal Images for Improved Accuracy by Using Random Forest and Multilayer Perceptron [PDF]

open access: yesE3S Web of Conferences, 2023
At the present time, breast cancer is one of the most often diagnosed forms of cancer in females. Mammography is the most common form of screening imaging used to identify breast cancer in its earlier stages.
M Thejeshwar, S Stella Jenifer Isbella
doaj   +1 more source

Novel Low-Power Construction of Chaotic S-Box in Multilayer Perceptron

open access: yesEntropy, 2022
Multilayer perceptron is composed of massive distributed neural processors interconnected. The nonlinear dynamic components in these processors expand the input data into a linear combination of synapses.
Runtao Ren   +4 more
doaj   +1 more source

Classification of raw milk composition and somatic cell count in water buffaloes with support vector machines [PDF]

open access: yesKafkas Universitesi Veteriner Fakültesi Dergisi, 2020
The study investigates the classification of milk quality with support vector machines (SVM) using the raw milk composition and somatic cell count (SCC) data on buffalos.
Yalcin TAHTALI
doaj   +1 more source

Analisis Arsitektur Jaringan Syaraf Tiruan-Multilayer Perceptron untuk Efektivitas Estimasi Beban Energi Listrik PT. PLN (Persero) UP3 Salatiga

open access: yesJurnal Elkomika, 2023
ABSTRAK PT PLN (Persero) UP3 Salatiga merupakan perusahaan penyedia energi listrik enam kabupaten di Jawa Tengah. Agar energi listrik yang mengalir ke pelanggan handal dan ekonomis, penyesuaian antara supply dan demand penting untuk dilakukan.
RONI SAPUTRA   +3 more
doaj   +1 more source

Novel Cooperative Multi-Input Multilayer Perceptron Neural Network Performance Analysis with Application of Solar Irradiance Forecasting

open access: yesInternational Journal of Photoenergy, 2021
To forecast solar irradiance with higher accuracy and generalization capability is challenging in the photovoltaic (PV) energy system. Meteorological parameters are highly influential in solar irradiance, leading to intermittent and randomicity ...
M. Madhiarasan   +2 more
doaj   +1 more source

Attention Multilayer Perceptron Fusion Network

open access: yesIEEE Access, 2023
With the rise of downstream image tasks, the requirements for the quality of images obtained upstream are becoming higher and higher. In view of the many structural features of remote sensing images, we propose a novel deep neural network architecture ...
Yuhua Wang   +3 more
doaj   +1 more source

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