Results 11 to 20 of about 2,398,960 (400)
Analysis of Artificial Neural Network: Architecture, Types, and Forecasting Applications
Journal of Electrical and Computer Engineering, 2022 The artificial neural network reduces humanity and society’s burden to solve complex problems highly efficiently. Artificial neural networks resemble brain activities based on the acquired training samples used for various applications such as ...
Manogaran Madhiarasan, Mohamed Louzazni
doaj +2 more sources
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science [PDF]
Nature Communications, 2018, 2017 Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from the network properties of biological neural networks (e.g. sparsity, scale-freeness), we argue that (contrary to general practice) artificial neural networks, too, should not have
D. Mocanu +5 more
arxiv +3 more sources
Artificial Neural Networks [PDF]
, 2017 Artificial Neural Network is a mathematical model, made in the form of software or hardware, built on the principle of biological neural networks of living cells. The neural network is a system of connected processors interacting with each other.
Gulko, Illya +2 more
core +7 more sources
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2020 : An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the biological nervous systems, such as the brain, which process information.
Satchidananda Dehuri +2 more
openaire +2 more sources
Neural Networks Architecture Evaluation in a Quantum Computer [PDF]
, 2017 In this work, we propose a quantum algorithm to evaluate neural networks architectures named Quantum Neural Network Architecture Evaluation (QNNAE). The proposed algorithm is based on a quantum associative memory and the learning algorithm for artificial neural networks.
da Silva, Adenilton José +1 more
arxiv +3 more sources
Utilization of Artificial Neural Network [PDF]
ARCHive-SR, 2018 Artificial neural networks (NN), have been applied to many construction management problems in urban projects. NN have showed some degree of success so the objective of this paper is to highlight some applications of this tool in the construction ...
Sherif Mohamed Hafez
doaj +2 more sources
Comparison of Novel Recurrent Neural Network Over Artificial Neural network in Predicting Email spammers with improved accuracy [PDF]
E3S Web of Conferences, 2023 The main aim is to compare Novel Recurrent Neural Network over Artificial Neural Network in predicting Email spammers with improved accuracy. Material and Methods : This research study contains two groups namely Novel Recurrent Neural Network and ...
Neeharika Chillakuru, Kalaiarasi S.
doaj +1 more source
Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer [PDF]
Artificial Intelligence Review, 2021 Microorganisms are widely distributed in the human daily living environment. They play an essential role in environmental pollution control, disease prevention and treatment, and food and drug production.
Jinghua Zhang +4 more
semanticscholar +1 more source
BioMed Research International, 2022 Brain cancer is one of the cell synthesis diseases. Brain cancer cells are analyzed for patient diagnosis. Due to this composite cell, the conceptual classifications differ from each and every brain cancer investigation.
D. Indira +10 more
semanticscholar +1 more source
Semi‐supervised classification of fundus images combined with CNN and GCN
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan +8 more
wiley +1 more source