Results 101 to 110 of about 265,148 (311)

Using Radial Basis Function Networks for Function Approximation and Classification

, 2012
The radial basis function (RBF) network has its foundation in the conventional approximation theory. It has the capability of universal approximation. The RBF network is a popular alternative to the well-known multilayer perceptron (MLP), since it has a ...
Yue Wu, Hui Wang, Biaobiao Zhang, Ke-Lin Du   +3 more
semanticscholar   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Encoding Magnetic Anisotropies in Digital Light Processing 3D Printing

Advanced Functional Materials, EarlyView.
A hybrid magnetic device—combining a coaxial coil within a nested Halbach array—is presented, integrated into a DLP 3D printer to enable spatially resolved magnetic field control. This system enables complex, multimodal responses by programming liquid crystal elastomer resins for magnetic and thermal actuation, and by inducing electrically conductive ...
Eléonore Aïdonidis, Andrea Cosola, Pierre Bourdon, Hichem Dammak, Marco Sangermano, Frédéric Demoly, Marco Faustini, Amélie Pérot, Didier Lairez, Rakine Mouhoubi, Sébastien Blanquer, Giancarlo Rizza   +11 more
wiley   +1 more source

LAN INTERCONNECTION UNIT BASED ON AN ARTIFICIAL NEURAL NETWORK

TASK Quarterly, 2006
This paper presents the design of an intelligent interconnection unit based on an artificial neural network (ANN), used when two local area networks (LAN) with different IEEE 802 standard protocols are connected.
HAMID ABDULLAH JALAB
doaj  

Neural adaptive sliding mode controller for unmanned surface vehicle steering system

Advances in Mechanical Engineering, 2018
Unmanned surface vehicle has the properties such as complexity, nonlinearity, time variability, and uncertainty, which lead to the difficulty of obtaining a precise kinematics model.
Lili Wan, Yixin Su, Huajun Zhang, Yongchuan Tang, Binghua Shi   +4 more
doaj   +1 more source

End-to-End Differentiable Proving [PDF]

, 2017
We introduce neural networks for end-to-end differentiable proving of queries to knowledge bases by operating on dense vector representations of symbols.
Riedel, Sebastian, Rocktäschel, Tim
core   +1 more source

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

Advanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou, Ken‐ichi Nomura, Shun Muroga, Makoto Yoneya, Don N. Futaba, Takeo Yamada, Reiko Azumi, Kenji Hata   +7 more
wiley   +1 more source

Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4

Advanced Functional Materials, EarlyView.
An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante, Valeria Demontis, Jonas Riisnaes Karl, Lam Hoi Tung, Sebastiano De Stefano, Daniela Marongiu, Adolfo Mazzotti, Aditya Bhardwaj, Francesco Mattana, Elisa Pili, Selene Matta, Federico Paolucci, Michele Saba, Andrea Mura, Giovanni Bongiovanni, Monica F Craciun, Saverio Russo, Antonio Di Bartolomeo   +17 more
wiley   +1 more source

Long-Term Peak Demand Forecasting by Using Radial Basis Function Neural Networks

Iranian Journal of Electrical and Electronic Engineering, 2010
Prediction of peak loads in Iran up to year 2011 is discussed using the Radial Basis Function Networks (RBFNs). In this study, total system load forecast reflecting the current and future trends is carried out for global grid of Iran.
L. Ghods, M. Kalantar
doaj