Results 11 to 20 of about 639,551 (228)
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
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
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
Hidden layers of human small RNAs [PDF]
BMC Genomics, 2008 Abstract Background Small RNA attracts increasing interest based on the discovery of RNA silencing and the rapid progress of our understanding of these phenomena. Although recent studies suggest the possible existence of yet undiscovered types of small RNAs in higher organisms, many studies to ...
Kawaji, Hideya +11 more
openaire +4 more sources
Radial Basis Function Neural Network Model Based on Lasso Sparse Learning [PDF]
Jisuanji gongcheng, 2019 The traditional Radial Basis Function(RBF) neural network model uses all hidden layer nodes to construct the model.In this case,the generalization performance of traditional RBF neural network model is degraded because of the lackness of the effective ...
CUI Chen,DENG Zhaohong,WANG Shitong
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
Hidden symmetries inN-layer dielectric stacks [PDF]
Journal of Physics: Condensed Matter, 2017 9 pages, 8 ...
Haihao Liu +2 more
openaire +3 more sources
Acta Scientiarum: Technology, 2016 Samples of automotive ethanol, marketed in the northern and eastern regions of the state of Paraná, Brazil, underwent physical and chemical tests. Rates were assessed by Multilayer Perceptron (MLP) neural network for classification. For network training,
Érica Signori Romagnoli +5 more
doaj +1 more source
IEEE Access, 2021 In order to overcome the extremely time-consuming drawback of deep learning (DL), broad learning system (BLS) was proposed as an alternative method. This model is simple, fast, and easy to update.
Weitong Ding +3 more
doaj +1 more source
Biologically plausible deep learning -- but how far can we go with shallow networks? [PDF]
, 2019 Training deep neural networks with the error backpropagation algorithm is considered implausible from a biological perspective. Numerous recent publications suggest elaborate models for biologically plausible variants of deep learning, typically defining
Brea, Johanni +2 more
core +2 more sources