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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
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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
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
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ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2020 Satchidananda Dehuri +2 more
semanticscholar +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.
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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
Diagnostyka, 2021 Installations and the detection of their faults has become a major challenge. In order to develop a reliable approach for monitoring and diagnosis faults of these components, a test rig was mounted.
Khoualdia Tarek +4 more
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METODE KOMPARASI ARTIFICIAL NEURAL NETWORK PADA PREDIKSI CURAH HUJAN - LITERATURE REVIEW
Jurnal Tekno Insentif, 2020 Abstrak - Penelitian untuk mencari model prediksi curah hujan yang akurat di berbagai bidang sudah banyak dilakukan, maka dilakukan di-review kembali guna membantu proses penyaliran dalam perusahaan tambang.
Herlina Jayadianti +3 more
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