Results 1 to 10 of about 639,531 (208)
N-hidden layer artificial neural network architecture computer code: geophysical application example [PDF]
Heliyon, 2020 We provide a MATLAB computer code for training artificial neural network (ANN) with N+1 layer (N-hidden layer) architecture. Currently, the ANN application to solving geophysical problems have been confined to the 2-layer, i.e.
Jide Nosakare Ogunbo +3 more
doaj +2 more sources
Detecting hidden layers from spreading dynamics on complex networks [PDF]
Physical Review E, 2021 When dealing with spreading processes on networks it can be of the utmost importance to test the reliability of data and identify potential unobserved spreading paths. In this paper we address these problems and propose methods for hidden layer identification and reconstruction.
Łukasz G. Gajewski +2 more
openalex +5 more sources
Determining the number of hidden layer and hidden neuron of neural network for wind speed prediction. [PDF]
PeerJ Comput Sci, 2021 Rachmatullah MIC, Santoso J, Surendro K.
europepmc +2 more sources
Pattern Recognition Letters, 2023 In the context of classification problems, Deep Learning (DL) approaches represent state of art. Many DL approaches are based on variations of standard multi-layer feed-forward neural networks. These are also referred to as deep networks. The basic idea is that each hidden neural layer accomplishes a data transformation which is expected to make the ...
Andrea Apicella +2 more
openalex +4 more sources
Syllables sound signal classification using multi-layer perceptron in varying number of hidden-layer and hidden-neuron [PDF]
MATEC Web of Conferences, 2018 The research on signal processing of syllables sound signal is still the challenging tasks, due to non-stationary, speaker-dependent, variable context, and dynamic nature factor of the signal. In the process of classification using multi-layer perceptron
Kristomo Domy +2 more
doaj +2 more sources
Correntropy-Based Constructive One Hidden Layer Neural Network
AlgorithmsOne of the main disadvantages of the traditional mean square error (MSE)-based constructive networks is their poor performance in the presence of non-Gaussian noises.
Mojtaba Nayyeri +5 more
doaj +4 more sources
Discovering hidden layers in quantum graphs [PDF]
Physical Review E, 2021 Finding hidden layers in complex networks is an important and a non-trivial problem in modern science. We explore the framework of quantum graphs to determine whether concealed parts of a multi-layer system exist and if so then what is their extent, i.e., how many unknown layers there are.
Łukasz G. Gajewski +2 more
openaire +3 more sources
Optimal Artificial Neural Network using Particle Swarm Optimization [PDF]
E3S Web of Conferences, 2023 Artificial neuron networks (ANNs) are widely used for data analyticS in broad areas of engineering applications and commercial services. The ANN has one to two hidden layers.
Alam M. N. +4 more
doaj +1 more source
Neural network approximation: Three hidden layers are enough [PDF]
Neural Networks, 2021 A three-hidden-layer neural network with super approximation power is introduced. This network is built with the floor function ($\lfloor x\rfloor$), the exponential function ($2^x$), the step function ($1_{x\geq 0}$), or their compositions as the activation function in each neuron and hence we call such networks as Floor-Exponential-Step (FLES ...
Zuowei Shen, Haizhao Yang, Shijun Zhang
openaire +4 more sources
Siklus: Jurnal Teknik Sipil, 2023 Pekerjaan peningkatan jalan menjadi suatu kebutuhan yang tidak dapat dielakkan guna mendapatkan infrastruktur transportasi yang lebih handal. Dukungan perencanaan anggaran dan estimasi biaya yang baik oleh karenanya harus dilakukan.
I Made Sutrisna Ari Kesuma +2 more
doaj +1 more source