Results 81 to 90 of about 173,770 (295)

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

Similarity networks for classification: a case study in the Horse Colic problem [PDF]

, 2014
This paper develops a two-layer neural network in which the neuron model computes a user-defined similarity function between inputs and weights. The neuron transfer function is formed by composition of an adapted logistic function with the mean of the ...
Belanche Muñoz, Luis Antonio, Hernández González, Jerónimo   +1 more
core   +1 more source

Swelling‐Programmed Topographical Guidance for Dynamic Spheroid Self‐Assembly via a Mechanochemical Hydrogel Niche

Advanced Functional Materials, EarlyView.
A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam, Seon Yeong Chae, Young Woo Kwon, Hye Jin Heo, Hye Rin Lee, Ji Hyeok Lee, Dong‐Wook Han, Yun Hak Kim, Suck Won Hong   +8 more
wiley   +1 more source

Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability

IEEE Access, 2020
Radial basis function neural networks (RBFs) are prime candidates for pattern classification and regression and have been used extensively in classical machine learning applications.
Mohammadreza Amirian, Friedhelm Schwenker   +1 more
doaj   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
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

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  

Bioactive Conductive Ti3C2Tx‐Ce Hydrogel Facilitates Spinal Cord Injury Repair Through ROS Scavenging and Mitochondrial Regulation

Advanced Functional Materials, EarlyView.
Bioactive conductive Ti3C2Tx‐Ce hydrogels with with scavenging ROS and alleviating neuronal mitochondrial dysfunction are exploited for SCI treatment. This functionality is attributed to interfacial activation modification of Ti3C2Tx with Ce3+ ions to in‐situ form Ce(OH)x‐mediated protective layer, which is beneficial to enabling stable intracellular ...
Weikang Wang, Qing Liu, Ang Lv, Yabin Lin, Jiawei Chen, Ning Ding, Chunlei Zhang, Shuai Zhou, Bo Yuan, Weiwei Zhao, Liming Li, Luping Zhang, Fei Huang   +12 more
wiley   +1 more source

Polymer Network Modified Perovskite for High‐Performance Pure Blue Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
A polymer network of poly(4‐vinylphenol) (PVPh) is introduced to improve pure blue perovskite light‐emitting diodes. PVPh effectively passivates defects, enhances film morphology, reduces lattice strain, and suppresses ion migration. These effects lead to record device performance, achieving 9.82% external quantum efficiency and stable blue emission at
Zhongkai Yu, Jiawei Hong, Jiaxin Song, Zihao Ren, Ke Zhou, Shengnan Liu, Minhui Yu, Yue Xu, Minjeong Ha, Yongbin Hua, Baodan Zhao, Bo Ram Lee   +11 more
wiley   +1 more source

Magnetic dot arrays modeling via the system of the radial basis function networks

, 2002
Two dimensional square lattice general model of the magnetic dot array is introduced. In this model the intradot self-energy is predicted via the neural network and interdot magnetostatic coupling is approximated by the collection of several dipolar ...
Abraham, Aharoni, Aharoni, Berkov, Brankov, Brown, Chou, Demand, Denis Horváth, Fernandez, Gushlienko, Ivo Vávra, Jeppesen, Jones, Kirkpatrick, Kodama, Kordonsky, Labbé, Lejeune, Liebovitch, Luttinger, Martin Gmitra, Mattheis, Metropolis, Metzler, Miles, Nussbaum, Pardavi-Horvath, Prakash, Saliah, Schabes, Scheinfein, Schrefl, Shinjo, Stamps, Vadmedenko, Visone, Wu   +37 more
core   +1 more source