Results 81 to 90 of about 274,124 (332)

On Comparison between Radial Basis Function and Wavelet Basis Functions Neural Networks

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017
      In this paper we study and design two feed forward neural networks. The first approach uses radial basis function network and second approach uses wavelet basis function network to approximate the mapping from the input to the output space.
L.N.M. Tawfiq, T.A.M. Rashid
doaj  

The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level

IJAIN (International Journal of Advances in Intelligent Informatics), 2019
Many different Artificial Neural Networks (ANN) models of flood have been developed for forecast updating. However, the model performance, and error prediction in which forecast outputs are adjusted directly based on models calibrated to the time series ...
Amrul Faruq, Shahrum Shah Abdullah, Aminaton Marto, Mohd Anuar Abu Bakar, Shamsul Faisal Mohd Hussein, Che Munira Che Razali   +5 more
doaj   +1 more source

A CASE STUDY ON SUPPORT VECTOR MACHINES VERSUS ARTIFICIAL NEURAL NETWORKS [PDF]

, 2004
The capability of artificial neural networks for pattern recognition of real world problems is well known. In recent years, the support vector machine has been advocated for its structure risk minimization leading to tolerance margins of decision ...
Lin, Wen-Chyi
core  

Electric Field‐Dependent Conductivity as Probe for Charge Carrier Delocalization and Morphology in Organic Semiconductors

Advanced Functional Materials, EarlyView.
Applying a high electric field to a doped organic semiconductor heats up the charge carrier distribution beyond the lattice temperature, enhancing conductivity. It is shown that the associated effective temperature can be used to extract the effective localization length, which is a characteristic length scale of charge transport and provides ...
Morteza Shokrani, Felix Maximilian Graf, Anton Kompatscher, Dennis Derewjanko, Martijn Kemerink   +4 more
wiley   +1 more source

Gourd‐Inspired Design of Unit Cell with Multiple Gradients for Physiological‐Range Pressure Sensing

Advanced Functional Materials, EarlyView.
Gourd‐shaped micro‐dome arrays with coordinated modulus, conductivity, and geometric gradients co‐optimize sensitivity and linearity in piezoresistive tactile sensors. Under pressure, a solid upper dome embeds into a porous lower dome, triggering rapid contact‐area growth and series‐to‐parallel conduction, enabling unsaturated, intensity‐resolved ...
Jiayi Xu, Ming Lei, Yuanzhe Liang, Biao Qi, Ziyi Dai, Yong Zhao, Bingpu Zhou   +6 more
wiley   +1 more source

Randomized Modality Mixing with Patchwise RBF Networks for Robust Multimodal Pain Recognition

Computers
Pain recognition based on multimodal physiological signals remains a challenge, not only because of the limited training data, but also due to the varying responses of individuals.
Mehmet Erdal, Sascha Gruss, Steffen Walter, Friedhelm Schwenker   +3 more
doaj   +1 more source

Bioinspired Polypeptide Dendrimer‐Modified Thin‐Film Composite Membranes for Selective Lithium‐Magnesium Separation with DFT Insights

Advanced Functional Materials, EarlyView.
We fabricated a biomimetic dendrimer‐modified thin‐film nanocomposite membrane with a coordination‐assisted ion‐selective interface. pH‐responsive polypeptide sites preferentially bind Mg2+ and promote Li+ permeation, as predicted by density functional theory calculations of metal‐ligand interactions.
Mehrasa Yassari, Seyedeh Fatemeh Seyedpour, Bamlak Setegne, Amir Aghaei, Behzad Ahvazi, Mostafa Dadashi Firouzjaei, Mark Elliott, Mohtada Sadrzadeh   +7 more
wiley   +1 more source

Kernelized radial basis probabilistic neural network for classification of river water quality [PDF]

, 2009
Radial Basis Probabilistic Neural Network (RBPNN) demonstrates broader and much more generalized capabilities which have been successfully applied to different fields.In this paper, the RBPNN is extended by calculating the Euclidean distance of each ...
Lim, Eng Aik, Zainuddin, Zarita
core  

Beyond the Edge: Charge‐Transfer Excitons in Organic Donor‐Acceptor Cocrystals

Advanced Functional Materials, EarlyView.
Complex excitonic landscapes in acene–perfluoroacene cocrystals are unveiled by polarization‐resolved optical spectroscopy and many‐body theory. This systematic study of a prototypical model system for weakly interacting donor–acceptor compounds challenges common views of charge‐transfer excitons, providing a refined conceptual framework for ...
Sebastian Anhäuser, Ana M. Valencia, Sergei I. Ivlev, Marc Zeplichal, Andreas Terfort, Caterina Cocchi, Gregor Witte   +6 more
wiley   +1 more source

Atomic‐Level Ionic Displacement Polarization Enhanced Piezocatalytic Hydrogen Evolution in Covalent Organic Frameworks

Advanced Functional Materials, EarlyView.
Two isomorphic COFs were synthesized and compared, including an amphoteric COF (SQ‐TAPT) and a neutral COF (PDA‐TAPT). The ionic bonds in SQ‐TAPT introduce more Born effective charges, thereby enhancing its ionic displacement polarization. Experimental and theoretical calculations demonstrated that SQ‐TAPT exhibited higher polarity and stronger ...
Ge Yan, Xiaodong Sun, Kailai Zhang, Shuai Zhang, Haijun Hu, Hui Li, Zhenglong Li, Hongwei Huang, Liqun Ye, Jiyang Li, Yunling Liu, Hongge Pan, Tianyi Ma   +12 more
wiley   +1 more source