Results 81 to 90 of about 11,022,240 (248)

Sparse multioutput radial basis function network construction using combined locally regularised orthogonal least square and D-optimality experimental design

, 2003
A construction algorithm for multioutput radial basis function (RBF) network modelling is introduced by combining a locally regularised orthogonal least squares (LROLS) model selection with a D-optimality experimental design.
Harris, C. J., Hong, X., Harris, C.J., Chen, S.   +3 more
core   +2 more sources

An on-line training radial basis function neural network for optimum operation of the UPFC [PDF]

, 2010
The concept of Flexible A.C. Transmission Systems (FACTS) technology was developed to enhance the performance of electric power networks (both in steady-state and transient-state) and to make better utilization of existing power transmission facilities ...
Farrag, M. E. A., M. E. A. Farrag, Ghanim Putrus, Putrus, G., Farrag, Mohamed, Putrus, Ghanim, Farrag, Mohamed; id_orcid   +6 more
core   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Radial Basis Function Assisted Turbo Equalization

, 2003
This paper presents a turbo equalization (TEQ) scheme, which employs a radial basis function (RBF)-based equalizer instead of the conventional trellis-based equalizer of Douillard et al.
Yeap, B.L., Yee, M.S., Hanzo, L.
core   +1 more source

Bone‐Inspired Recyclable Composites for Damage‐Tolerant Circular Materials

Advanced Functional Materials, EarlyView.
Bone‐inspired architected composites are developed by combining osteon‐like reinforcements with a recyclable Elium thermoplastic matrix. The hierarchical architecture redirects cracks and promotes energy dissipation, while enabling recovery of intact, aligned, load‐bearing reinforcement units that retain their original stiffness, revealing a route ...
Alessandro Stagni, Nastaran Bahrami Novin, Luigi Benvenuto, Enrico Lertora, Flavia Libonati   +4 more
wiley   +1 more source

Melanin's Role in Balancing Mechanical Strength and Reproductive Output in Environmentally Stressed Fungal Spores

Advanced Functional Materials, EarlyView.
Melanin content directly controls fungal spore mechanical properties, with pigmented spores achieving rupture forces two orders of magnitude higher than hyaline spores. Environmental stress drives this quantity‐quality tradeoff; stressed species invest energy in melanin‐reinforced, mechanically superior thick‐walled, super‐hydrophobic spores, while ...
Atul Agrawal, Steven E. Naleway
wiley   +1 more source

Mathematical Modeling on a Physics-Informed Radial Basis Function Network

Mathematics
The article is devoted to approximate methods for solving differential equations. An approach based on neural networks with radial basis functions is presented. Neural network training algorithms adapted to radial basis function networks are proposed, in
Dmitry Stenkin, Vladimir Gorbachenko
doaj   +1 more source

Embedded Direct Ink Writing of Thermoset and Elastomeric Polymers via Frontal Polymerization

Advanced Functional Materials, EarlyView.
Embedded frontal polymerization direct ink writing (FP‐DIW) combines frontal ring‐opening metathesis polymerization with embedded 3D printing to decouple deposition from curing. A yield‐stress support bath stabilizes low‐viscosity inks, while on‐demand thermal initiation enables controlled front propagation. This approach expands the accessible feature
Mohammad Tanver Hossain, Yun Seong Kim, Pallab Layak, Pranav Krishnan, Young bum Lee, Minjiang Zhu, Shubh Singh, Philippe H. Geubelle, Paul V. Braun, Jeffery W. Baur, Nancy R. Sottos, Sameh H. Tawfick, Randy H. Ewoldt   +12 more
wiley   +1 more source

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

Machine Learning Application of Generalized Gaussian Radial Basis Function and Its Reproducing Kernel Theory

Mathematics
Gaussian Radial Basis Function Kernels are the most-often-employed kernel function in artificial intelligence for providing the optimal results in contrast to their respective counterparts.
Himanshu Singh
doaj   +1 more source