Results 131 to 140 of about 34,857 (308)
AI-OPTIMIZED FUZZY CONVOLUTIONAL PREDICTION FOR FINANCIAL TIME SERIES
A deep convolutional prediction approach for financial time series is introduced in which fuzzy-cluster memberships and lagged observations are provided as inputs to a GA-tuned 1D convolutional network.
Furkan Keskin +2 more
doaj +1 more source
Differential Convolutional Fuzzy Time Series Forecasting
Fuzzy time series forecasting (FTSF) is a typical forecasting method with wide application. Traditional FTSF is regarded as an expert system which leads to loss of the ability to recognize undefined features. The mentioned is the main reason for poor forecasting with FTSF. To solve the problem, the proposed model Differential Fuzzy Convolutional Neural
Tianxiang Zhan +3 more
openaire +2 more sources
A fluorinated hydrogen‐bonded organic framework nanocarrier (PFC‐1‐F) loaded with PYR and coated with HACC enables multi‐stimuli‐responsive (enzyme/ROS/pH) release at infection sites. Exhibiting targeted antifungal activity against Sclerotium rolfsii, modulating plant antioxidant defense, and demonstrating favorable biosafety across plant, soil, and ...
Guangming Ma +6 more
wiley +1 more source
Atomically dispersed CuOx (CPCu‐1) forms isolated Cu–Ov sites that enable defect‐mediated O2 activation and fast electron/proton transfer via interfacial synergy. In contrast, thick CuOx clusters (CPCu‐10) promote a surface‐adsorption‐controlled pathway with intermediate accumulation, highlighting a mechanism switch from interfacial activation to ...
Yang‐Yang Hsu +8 more
wiley +1 more source
Perubahan harga bahan bakar minyak merupakan salah satu faktor yang berpengaruh terhadap investasi saham pada Indeks Harga Saham Gabungan (IHSG) di Indonesia, namun dalam proses pergerakan harga saham yang tidak menentu para investor ditekan untuk lebih ...
Budi Karyo Utomo, Wellia Shinta Sari
doaj
We report photostable, photoluminescent deep eutectic solvents (DESs) powered by in situ‐formed zero‐dimensional (0D) halometallates. Stabilized by microenvironment‐controlling hydrogen bond acceptor (HBA) and donor (HBD) networks, these DESs exhibit vibrant, metal ion‐tunable emission (PLQY = 60.2%).
Jeesu Moon +4 more
wiley +1 more source
"Can the neuro fuzzy model predict stock indexes better than its rivals?" [PDF]
This paper develops a model of a trading system by using neuro fuzzy framework in order to better predict the stock index. Thirty well-known stock indexes are analyzed with the help of the model developed here.
Haider Ali Khan +2 more
core
The genome of Rhodococcus erythropolis D‐1 was analyzed by bioinformatic tools to mine a novel nonribosomal peptide synthetase (NRPS) gene cluster. A nonribosomal peptide analog ZURJC5 associated with the NRPS was chemically synthesized. Through structure‐activity relationship studies, ZURJC28 was ultimately obtained and showed antibacterial activity ...
Keyi Chen +9 more
wiley +1 more source
Time series modelling with multidimensional fuzzy inference systems
La predicción de series que exhiben características no lineales ha sido un problema vigente durante las últimas dos décadas. En este trabajo se explora este problema a partir del uso de sistemas de inferencia borrosa y, particularmente, de sistemas ...
Rendón Sánchez, Juan Fernando
core
Improving the fuzzy system performance by fuzzy system ensemble
This paper proposes a fuzzy system ensemble (FSE) that can improve the system performance in non-linear and complex problems. Each fuzzy system in the FSE is built from two design stages, each stage of which is performed by different genetic algorithms ...
D, Kim
core +1 more source

