Results 101 to 110 of about 34,857 (308)
Weighted Fuzzy Time Series Forecasting Mode
, 2015 [[abstract]]Traditional time series methods fail to forecast the problems with linguistic historical data. An alternative forecasting method such as fuzzy time series is needed to deal with these kinds of problems. This study proposes a fuzzy time series
王佳文;Wang, Jia-Wen;Liu, Jing-Wei
core
HMM based fuzzy model for time series prediction
, 2006 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)This paper presents a Hidden Markov Model (HMM) based fuzzy rule extraction technique for predicting a time series generated by a chaotic dynamical system.
Nath, B, Hassan, MR, Kirley, M
core +1 more source
Advanced Science, EarlyView.Sepsis‐associated encephalopathy (SAE) lacks effective therapies. We developed ME@FDsi, a biomimetic nanodrug using a tetrahedral framework nucleic acid to deliver disulfiram and siTNFα. It crosses the blood‐brain barrier, targets M1 microglia, inhibits pyroptosis and inflammation, and scavenges ROS.
Huimin Shi +15 more
wiley +1 more source
Evolving Fuzzy Rule-based Classifiers from Data Streams [PDF]
, 2008 A new approach to the online classification of streaming data is introduced in this paper. It is based on a self-developing (evolving) fuzzy-rule-based (FRB) classifier system of Takagi-Sugeno ( eTS) type.
Angelov, Plamen, Zhou, Xiaowei
core
Advanced Science, EarlyView.Here, we demonstrate and investigate polarization‐enabled electromechanical responses in cryogenic physical vapor deposition (cryogenic PVD)‐deposited TexSe1‐x thin films, a tellurium‐based compound with a tunable bandgap and enhanced non‐centrosymmetry.
Chia‐Chen Chung +16 more
wiley +1 more source
PERAMALAN INDEKS HARGA SAHAM GABUNGAN (IHSG) DENGAN METODE FUZZY TIME SERIES MARKOV CHAIN
Jurnal MIPA, 2016 Tujuan penelitian ini adalah untuk mengetahui akurasi metode Fuzzy Time Series Markov Chain pada peramalan IHSG dan membuat aplikasi untuk peramalan IHSG menggunakan software MATLAB. Dalam penelitian ini, data bersumber dari yahoo finance. Data historis
Y Aristyani, E Sugiharti
doaj
STOCK PRICE FORECASTING USING FUZZY C-MEANS AND TYPE-2 FUZZY TIME SERIES
BarekengStock prices have unstable movements, so forecasting is needed to decide to invest appropriately according to the strategy. Fuzzy Time Series (FTS) uses fuzzy sets to forecast future time series values using historical data.
Rineka Brylian Akbar Satriani +2 more
doaj +1 more source
Prediction of university fund revenue and expenditure based on fuzzy time series with a periodic factor. [PDF]
PLoS One, 2023 Shen Y, Ma X, Sun Y, Du S.
europepmc +1 more source
Fuzzy Transforms and Seasonal Time Series
, 2016 Is proposed a new method based on the inverse F-transform for prediction analysis of seasonal time series. Performance comparison with the traditional F-transform method, and the famous ARIMA methods are carried out; the results show that the better ...
ferdinando di martino
core
Advanced Science, EarlyView.This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source