Results 31 to 40 of about 273,096 (313)

Artificial Intelligence to Analyze the Cortical Thickness Through Age

Frontiers in Artificial Intelligence, 2021
In this study, Artificial Intelligence was used to analyze a dataset containing the cortical thickness from 1,100 healthy individuals. This dataset had the cortical thickness from 31 regions in the left hemisphere of the brain as well as from 31 regions ...
Sergio Ledesma, Sergio Ledesma, Mario-Alberto Ibarra-Manzano, Dora-Luz Almanza-Ojeda, Pascal Fallavollita, Jason Steffener   +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

On Correspondences between Feedforward Artificial Neural Networks on Finite Memory Automata and Classes of Primitive Recursive Functions

Mathematics, 2023
When realized on computational devices with finite quantities of memory, feedforward artificial neural networks and the functions they compute cease being abstract mathematical objects and turn into executable programs generating concrete computations ...
Vladimir A. Kulyukin
doaj   +1 more source

A Review of the Modeling of Adsorption of Organic and Inorganic Pollutants from Water Using Artificial Neural Networks

Adsorption Science & Technology, 2022
The application of artificial neural networks on adsorption modeling has significantly increased during the last decades. These artificial intelligence models have been utilized to correlate and predict kinetics, isotherms, and breakthrough curves of a ...
Hilda Elizabeth Reynel-Ávila, Ismael Alejandro Aguayo-Villarreal, Lizbeth Liliana Diaz-Muñoz, Jaime Moreno-Pérez, Francisco Javier Sánchez-Ruiz, Cintia Karina Rojas-Mayorga, Didilia Ileana Mendoza-Castillo, Adrián Bonilla-Petriciolet   +7 more
doaj   +1 more source

Fast non-recursive extraction of individual harmonics using artificial neural networks [PDF]

, 2005
A collaborative work between Northumbria University and University of Peradeniya (Sri Lanka). It presents a novel technique based on Artificial Neural Networks for fast extraction of individual harmonic components. The technique was tested on a real-time
Wijayakulasooriya, Janaka V., Putrus, Ghanim, Ng, Chong   +2 more
core   +1 more source

Modeling toothpaste brand choice: An empirical comparison of artificial neural networks and multinomial probit model [PDF]

, 2010
Copyright @ 2010 Atlantis PressThe purpose of this study is to compare the performances of Artificial Neural Networks (ANN) and Multinomial Probit (MNP) approaches in modeling the choice decision within fast moving consumer goods sector.
Aktas, E, Ulengin, B, Aktas, Emel, Kaya, Tolga, Kaya, T, Topçu, Ilker, Ulengin, Burç, Topcu, YI   +7 more
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The use of artificial neural networks and multiple linear regression in modelling work–health relationships: translating theory into analytical practice [PDF]

, 2010
Although psychological theory acknowledges the existence of complex systems and the importance of nonlinear effects, linear statistical models have been traditionally used to examine relationships between environmental stimuli and outcomes.
Cox, Tom, Karanika-Murray, M., Karanika-Murray, M, Cox, T   +3 more
core   +1 more source

Deferring the learning for better generalization in radial basis neural networks [PDF]

, 2001
Proceeding of: International Conference Artificial Neural Networks — ICANN 2001. Vienna, Austria, August 21–25, 2001The level of generalization of neural networks is heavily dependent on the quality of the training data.
Galván, Inés M., Inés María Galván, Pedro Isasi, José María Valls, Valls, José M., Isasi, Pedro   +5 more
core   +1 more source

Review and Analysis of the Development of Artificial Neural Networks

Кібернетика та комп'ютерні технології, 2023
Introduction. The creation of intelligent cyber-physical systems is impossible without knowledge of the analysis and process of development of scientific thought regarding artificial neural networks. The main task of this article is research and analysis
Oleksandr Bilokon
doaj   +1 more source

Evolving artificial neural networks [PDF]

Proceedings of the IEEE, 1999
Learning and evolution are two fundamental forms of adaptation. There has been a great interest in combining learning and evolution with artificial neural networks (ANNs) in recent years. This paper: 1) reviews different combinations between ANNs and evolutionary algorithms (EAs), including using EAs to evolve ANN connection weights, architectures ...
openaire   +1 more source