[EN] This article focuses on the optimal aschitecture of the neuronal network for determining the three characteristic points of the bars (starting, crest and final point)This research has been partially funded by Universidad de Alicante through the project "Estudio sobre el perfil de equilibrio y la profundidad de cierre en playas de arena" (GRE15-02Lopez, I.; Aragones, L.; Serra Peris, JC.; Villacampa, Y. (2017). Neuronal network for determining the characteristic points of the bars. Ocean Engineering. 136:141-151. https://doi.org/10.1016/j.oceaneng.2017.03.03314115113
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
<p>A multilayer perceptron with 16 input nodes and 13 hidden nodes in the network.</p
Les réseaux de neurones artificiels connaissent des succès dans plusieurs domaines. Maisles utilisat...
This article focuses on the optimal architecture of the neural network for determining the three cha...
The formation of the complex network architecture of neural systems is subject to multiple structura...
Network analysis provides a quantitative tool to investigate the topological properties of a system....
Grid cell responses develop gradually after eye opening, but little is known about the rules that go...
Thesis (Ph.D.)--University of Washington, 2022All human and animal behavior from seeing, hearing, ru...
<p>(<b>A</b>) Schematic diagram of the neural network. Each red (blue) circle represents an auditory...
Artificial neural networks (ANNs) are comparatively straightforward to understand and use in the ana...
A neural network is useful for generating a solution to problems without having to build underlying ...
<p>(A) Our network architecture is based on those of Rozell <i>et al. </i><a href="http://www.plosco...
<p>A 400 neuron network arranged in a 20×20 sheet with topographic input from the visual field is tr...
<p>Modules of high interconnectivity were identified using a community detection algorithm. A. A sch...
Proyecto confidencial (Riunet)Martínez Colomina, E. (2013). Maintaining water level accuracy for aqu...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
<p>A multilayer perceptron with 16 input nodes and 13 hidden nodes in the network.</p
Les réseaux de neurones artificiels connaissent des succès dans plusieurs domaines. Maisles utilisat...
This article focuses on the optimal architecture of the neural network for determining the three cha...
The formation of the complex network architecture of neural systems is subject to multiple structura...
Network analysis provides a quantitative tool to investigate the topological properties of a system....
Grid cell responses develop gradually after eye opening, but little is known about the rules that go...
Thesis (Ph.D.)--University of Washington, 2022All human and animal behavior from seeing, hearing, ru...
<p>(<b>A</b>) Schematic diagram of the neural network. Each red (blue) circle represents an auditory...
Artificial neural networks (ANNs) are comparatively straightforward to understand and use in the ana...
A neural network is useful for generating a solution to problems without having to build underlying ...
<p>(A) Our network architecture is based on those of Rozell <i>et al. </i><a href="http://www.plosco...
<p>A 400 neuron network arranged in a 20×20 sheet with topographic input from the visual field is tr...
<p>Modules of high interconnectivity were identified using a community detection algorithm. A. A sch...
Proyecto confidencial (Riunet)Martínez Colomina, E. (2013). Maintaining water level accuracy for aqu...
Computational neuroscience is an interdisciplinary field that incorporates an analysis of brain func...
<p>A multilayer perceptron with 16 input nodes and 13 hidden nodes in the network.</p
Les réseaux de neurones artificiels connaissent des succès dans plusieurs domaines. Maisles utilisat...