Results 1 to 10 of about 115,680 (168)
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.
Ogunbo JN +3 more
europepmc +2 more sources
Energies, 2019 With the aim of improving the shortcomings of the traditional single hidden layer back propagation (BP) neural network structure and learning algorithm, this paper proposes a centrifugal pump performance prediction method based on the combination of the ...
Wei Han, Xuejing Zhang, Rennian Li
exaly +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
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
An Improved 5-layers Depth Learning Structure and Optimization Method [PDF]
Jisuanji gongcheng, 2018 According to previous studies,the selection of the number of hidden nodes in the 5-levels neural network structure is not clear.To solve the problem,an improved 5-levels Deep Belief Networks(DBN) structure design and optimization method of nodes number ...
MAO Yonghua,DAI Zhaosheng,GUI Xiaolin
doaj +1 more source
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
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Hittite Journal of Science and Engineering, 2021 This study aims to analyze the effects of noise, image filtering, and edge detection techniques in the preprocessing phase of character recognition by using a large set of character images exported from MNIST database trained with various sizes of neural
Hakan Koyuncu
doaj +1 more source
Comparison of artificial neural network and multivariate regression methods in prediction of soil cation exchange capacity (Case study: Ziaran region) [PDF]
Desert, 2010 Investigation of soil properties like Cation Exchange Capacity (CEC) plays important roles in study of environmental reaserches as the spatial and temporal variability of this property have been led to development of indirect methods in estimation of ...
A Keshavarzi, F Sarmadian
doaj +1 more source
Estimation of Hidden Layer of Intersectoral and Water Consumption Multiplier in Different Sectors of Iran [PDF]
Faslnāmah-i Pizhūhish/Nāmah-i Iqtisādī, 2016 In the mixed economic and natural resource domain, transactions on commodities, services and natural resources (water and land) are in either visible or invisible (hidden) layers. The prevailing monetary systems of macro and sectoral accounting take into
Ali Arabmazar Yazdi +2 more
doaj +1 more source
Надежность и качество сложных систем, 2022 Background. High accuracy of recognition of typical ground objects by optoelectronic tracking systems can be achieved by optimizing the parameters of an artificial neural network (INS) such as: the dimension and structure of the INS input signal ...
A.I. Godunov +3 more
doaj +1 more source