Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?
bioRxiv, 2018 The internal representations of early deep artificial neural networks (ANNs) were found to be remarkably similar to the internal neural representations measured experimentally in the primate brain.
Martin Schrimpf +11 more
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Implementation of Backpropagation Artificial Network Methods for Early Children’s Intelligence Prediction [PDF]
E3S Web of Conferences, 2021 Intelligence is the ability to process certain types of information derived from human biological and psychological factors. This study aims to implement a Backpropagation artificial neural network for prediction of early childhood intelligence and how ...
Budiman I +4 more
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Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems
Computers Materials & Continua, 2019 : We present a method for solving partial differential equations using artificial neural networks and an adaptive collocation strategy. In this procedure, a coarse grid of training points is used at the initial training stages, while more points are ...
C. Anitescu +3 more
semanticscholar +1 more source
Nature Precedings, 2011 In the postgenomic era, computational methods are being used in diverse areas like drug discovery, robotics, weather forecasting etc. Computational methods are incorporated with various programmes that are further instructed with complex algorithms based on different logistic approaches.
Smrita Singh, Smrita Singh
openaire +1 more source
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
IEEE Access, 2019 The era of artificial neural network (ANN) began with a simplified application in many fields and remarkable success in pattern recognition (PR) even in manufacturing industries.
Oludare Isaac Abiodun +9 more
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PERMODELAN INVERSI PEREDAM MAGNET-REOLOGI BERBASIS JARINGAN SARAF TIRUAN UNTUK SISTEM KENDALI
Rekayasa Mesin, 2022 The application of artificial neural network (ANN) models in magnet-rheological damper modeling is of great interest in recently challenges. Therefore, this study aims to propose a solution to overcome this problem by conducting inverse modeling using an
Rafly Asprilla Alwi +4 more
doaj +1 more source
Artificial Neural Network in Cosmic Landscape [PDF]
, 2017 In this paper we propose that artificial neural network, the basis of machine learning, is useful to generate the inflationary landscape from a cosmological point of view.
Liu, Junyu
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Threat analysis of IoT networks using artificial neural network intrusion detection system [PDF]
International Symposium on Networks, Computers and Communications, 2016 The Internet of things (IoT) is still in its infancy and has attracted much interest in many industrial sectors including medical fields, logistics tracking, smart cities and automobiles. However as a paradigm, it is susceptible to a range of significant
Elike Hodo +6 more
semanticscholar +1 more source
Estimation of soil properties by an artificial neural network
Magazine of Civil Engineering, 2022 Empirical dependencies are often used in various fields of geotechnics and civil engineering. The existing empirical formulas are mainly developed with the use of regression and multiple regression.
Ofrikhter Ian +3 more
doaj +1 more source
The High Time Resolution Universe Survey VI: An Artificial Neural Network and Timing of 75 Pulsars [PDF]
, 2012 We present 75 pulsars discovered in the mid-latitude portion of the High Time Resolution Universe survey, 54 of which have full timing solutions. All the pulsars have spin periods greater than 100 ms, and none of those with timing solutions are in ...
A Jameson +69 more
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