This paper discusses the approximation properties of fuzzy systems generated by the min inference. Firstly, the paper analyzes the properties of fuzzy basis functions (FBFs); Then based on the properties of FBPs, several basic approximation properties concerning approximation mechanisms, uniform approximation bounds, uniform convergency, and universal approximation are obtained. Further, the similarity and difference between the fuzzy systems generated by the product inference and by the min inference are discussed.
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http://dx.doi.org/10.1109/3477.484453 | DOI Listing |
Adv Mater
January 2025
Hangzhou International Innovation Institute, Beihang University, Hangzhou, 311115, P. R. China.
The structural disorder of the black butterfly assists in capturing sunlight across a wider spectral and angular range, injecting infinite vitality for omnidirectional and stimuli-responsive wave-absorbing materials. Here, the disordered micro-pores responding to terahertz (THz) waves through electromagnetic simulations, and then prepared via ice templating technology are analyzed and optimized. The customized disordered aerogel makes possible perfect terahertz response property with incidence-angle-insensitive and ultra-broadband.
View Article and Find Full Text PDFStat Methods Med Res
January 2025
Department of Statistics and Institute of Data Science, National Cheng Kung University, Tainan, Taiwan.
The article proposes a robust approach to jointly modeling multiple repeated clinical measures with intricate features. More specifically, we aim to expand the scope of the multivariate linear mixed model by using the multivariate contaminated normal distribution. The proposed model, called the multivariate contaminated normal linear mixed model with censored and missing responses (MCNLMM-CM), is designed to handle minor outliers effectively, while simultaneously accommodating censored measurements and intermittent missing responses.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Food Physics, Research Institute of Food Science and Technology (RIFST), Mashhad, Iran. Electronic address:
Gums are commonly used in the food industry for their functional properties. However, the growing demand for sustainable and alternative sources has drawn attention to the need for identifying and characterizing non-conventional gum sources with comparable or enhanced features. This study aimed to investigate the exudate gum from apricot trees (Prunus armeniaca) in Malatya as a potential alternative.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Biology, Swarthmore College, Swarthmore, Pennsylvania, United States of America.
Mental illnesses put a tremendous burden on afflicted individuals and society. Identification of novel drugs to treat such conditions is intrinsically challenging due to the complexity of neuropsychiatric diseases and the need for a systems-level understanding that goes beyond single molecule-target interactions. Thus far, drug discovery approaches focused on target-based in silico or in vitro high-throughput screening (HTS) have had limited success because they cannot capture pathway interactions or predict how a compound will affect the whole organism.
View Article and Find Full Text PDFJ Mol Model
January 2025
Department of Chemistry, Federal Institute of Education, Science and Technology of Espírito Santo, Av. Min. Salgado Filho, Vila Velha, 29106-010, Espírito Santo, Brazil.
Context: This study presents quantum chemical analysis of 14 distinct carbon-based nanostructures (CBN), ranging from simple molecules, like benzene, to more complex structures, such as coronene, which serves as an exemplary graphene-like model. The investigation focuses on elucidating the relationships between molecular orbital (MO) energies, the energy band gaps, electron occupation numbers (eON), electronic conduction, and the compound topologies, seeking to find the one that approaches most of a graphene-like structure for in silico studies. Through detailed examination of molecular properties including chemical hardness and chemical potential, we demonstrate that the electronic exchange between orbitals is directly influenced by the structural topology of the carbon-based nanostructures, as the electron occupation numbers and the molecular orbital energies.
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