Results 21 to 30 of about 853,385 (276)

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, A Lyne, A Possenti, Abdo, B R Barsdell, B Stappers, Bailes, Bates, Bhat, Bishop, Boyles, Burke-Spolaor, C Ng, C Nietner, Camilo, Cognard, Cordes, D J Champion, D Thornton, Eatough, Eatough, Edwards, Espinoza, Faucher-Giguère, Faucher-Giguère, Ferdman, Hobbs, Hobbs, Jenet, Keane, Keith, Keith, Keith, Keith, Kramer, Kramer, Kramer, L Levin, Levin, Looney, Lorimer, Lyne, Lyne, Lyne, M Bailes, M Burgay, M J Keith, M Kramer, Manchester, Manchester, McLaughlin, N D R Bhat, N D'Amico, O'Brien, P Coster, Ransom, Ray, Ridley, Rosen, S Burke-Spolaor, S D Bates, S Johnston, S Milia, Smits, Stappers, Taylor, van Leeuwen, W van Straten, Weltevrede, Weltevrede   +69 more
core   +5 more sources

Optimal Artificial Neural Network Type Selection Method for Usage in Smart House Systems

Sensors, 2020
In the process of the “smart” house systems work, there is a need to process fuzzy input data. The models based on the artificial neural networks are used to process fuzzy input data from the sensors. However, each artificial neural network has a certain
Vasyl Teslyuk, Artem Kazarian, Natalia Kryvinska, Ivan Tsmots   +3 more
doaj   +1 more source

Automatic Programming of Cellular Automata and Artificial Neural Networks Guided by Philosophy

, 2020
Many computer models such as cellular automata and artificial neural networks have been developed and successfully applied. However, in some cases, these models might be restrictive on the possible solutions or their solutions might be difficult to ...
A Ilachinski, G Simondon, K Mainzer, M Cook, N Wiener, S Wolfram, SA Kaufmann, SJ Russel, TH Cormen, WR Ashby   +9 more
core   +1 more source

Neural Network Applications [PDF]

, 1995
Artificial neural networks, also called neural networks, have been used successfully in many fields including engineering, science and business. This paper presents the implementation of several neural network simulators and their applications in ...
Jain, L.C., Veelenturf, L.P.J., Vonk, E.
core   +3 more sources

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, Ponomaryov Andrey, Zakharov Alexander, Shenkman Roman   +3 more
doaj   +1 more source

SIR: A New Wireless Sensor Network Routing Protocol Based on Artificial Intelligence [PDF]

, 2006
Currently, Wireless Sensor Networks (WSNs) are formed by hundreds of low energy and low cost micro-electro-mechanical systems. Routing and low power consumption have become important research issues to interconnect this kind of networks.
Barbancho Concejero, Antonio, Barbancho Concejero, Julio, León de Mora, Carlos, Molina Cantero, Francisco Javier   +3 more
core   +1 more source

A stochastic artificial neural network model for investigating street vendor behavior in a night market

International Journal of Distributed Sensor Networks, 2016
This article offers a hybrid computational approach that combines an artificial neural network with Bayesian probability to improve on the conventional artificial neural network model.
Pao-Kuan Wu, Tsung-Chih Hsiao, Ming Xiao
doaj   +1 more source

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, Irfan Bahiuddin, Ryandhi Rofifu Chazim, Agustinus Winarno, Fitrian Imaduddin   +4 more
doaj   +1 more source

Modality Fusion Vision Transformer for Hyperspectral and LiDAR Data Collaborative Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, collaborative classification of multimodal data, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR), has been widely used to improve remote sensing image classification accuracy.
Bin Yang, Xuan Wang, Ying Xing, Chen Cheng, Weiwei Jiang, Quanlong Feng   +5 more
doaj   +1 more source

Advances in Artificial Neural Networks – Methodological Development and Application

Algorithms, 2009
Artificial neural networks as a major soft-computing technology have been extensively studied and applied during the last three decades. Research on backpropagation training algorithms for multilayer perceptron networks has spurred development of other ...
Yanbo Huang
doaj   +1 more source