[PDF] Top 20 Forecasting enrollments based on fuzzy time series
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Forecasting enrollments based on fuzzy time series
... In this paper, we present a new method to fore- cast university enrollments based on fuzzy time series, where the data of historical enrollments of the University of [r] ... See full document
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An Enhanced HMM-Based for Fuzzy Time Series Forecasting Model
... The previous study focused on constructing relationship by Markov or HMM, the drawback is only deal with one factor or one hidden variable and one observable variable. The proposed model solves the problem and ... See full document
33
An Enhanced HMM-Based for Fuzzy Time Series Forecasting Model
... accurate forecasting method can help mak- ers to make appropriate ...a fuzzy set in ...the forecasting framework of fuzzy time series in ...the forecasting method to ... See full document
6
Extracting fuzzy relations in fuzzy time series model based on approximation concepts
... Extracting fuzzy relations in fuzzy time series model based on approximation concepts Tung-Kuan Liu, Yeh-Peng Chen, Jyh-Horng Chou ⇑ Institute of Engineering Science and ... See full document
3
A new method to forecast the TAIEX based on fuzzy time series
... and based on Table VI, we can see that the fuzzy variation of the secondary factor is B 8 ...the fuzzy logical relationship “A 4 → A 5 , A 4 , A 4 , A 4 , A 5 ” is A 4 ...5800. Based ... See full document
6
Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming
... statistical forecasting methods can effectively model linear time series, but to accurately forecast nonlinear time series is ...SVM time series models have been developed ... See full document
7
Temperature prediction using fuzzy time series
... that forecasting activities play an important role in our daily ...by forecasting the coming of storms or ...the forecasting errors or increase the speed of the forecasting ...the ... See full document
13
Forecasting Wavelet Transformed Time Series with Attentive Neural Networks
... complex time series. We develop a novel attention-based neural network that leverages C NN to extract local time-frequency features and applies LSTM to capt ure the long-term global trend ... See full document
12
A Novel Modified Particle Swarm Optimization for Forecasting Financial Time Series
... Abstract—Time series has been widely applied in the real world; traditional methods can hardly solve the dynamic environment issue resulting from the assumption of stationary ...environment based ... See full document
5
Mining Time Series Data with Fuzzy Association Rules
... financial forecasting, processing control and many applications, data mining has attracted tremendous attention from statistics, computer science, and artificial intelligence research ... See full document
7
Forecasting nonlinear time series of energy consumption using a hybrid dynamic model
... for forecasting energy ...Next, based on real-world examples, Section 4 evaluates the forecasting accuracy of the proposed mod- el, and compares it to other energy consumption ... See full document
6
A new method for forecasting the TAIEX based on high-order fuzzy logical relationships
... of fuzzy time series from [12], [13] and ...TAIEX based on highˀorder fuzzy logical ...the forecasting result of the proposed method with the existing ... See full document
5
Auto-configuring radial basis function networks for chaotic time series and flood forecasting
... the time- consuming trial and error procedure, various methods have been proposed to determine the appropriate struc- ture of the network, such as the orthogonal least squares (OLS) algorithm (Chen et ...training ... See full document
10
Time Series Forecasting by Combining the Radial Basis Function Network and the Self-organizing Map
... a time-series forecasting model is ...is based on the combination of an RBFN and an ...solved. Time series generated from three types of Box–Jenkins model are used to test ... See full document
13
A fuzzy seasonal ARIMA model for forecasting
... SARIMA; Fuzzy regression; Fuzzy SARIMA; Fuzzy time series; Time series ...E2ective forecasting is fundamental to future technology development and customer demand, ... See full document
10
Temperature prediction based on fuzzy clustering and fuzzy rules interpolation techniques
... prediction, fuzzy clustering, fuzzy rules interpolation ...NTRODUCTION Forecasting activities play an important role in our daily life, where there are many kinds of forecasting activities, ... See full document
6
We attempt to cover time domain analysis of time series
... to time. The methodology of time series analysis is construct- ing models and forecasting based on the known past ...of time series models and make further ...cover ... See full document
2
Fuzzy ARIMA model for forecasting the foreign exchange market
... market; Fuzzy regression; Fuzzy ARIMA; Time series ...the time-series ARIMA model has enjoyed fruitful applications in forecasting social, economic, engineering, foreign ... See full document
11
Identification environment and robust forecasting for nonlinear time series
... Key words, nonlinear time series, bilinear, Lagrange multiplier test, neural network, forecasting, robust... 38 BERLIN WU tests can provide a well-designed procedure f[r] ... See full document
17
Social trend tracking by time series based social tagging clustering
... as time series by the vec- tor space ...tor, time series clustering is more precise than traditional hierar- chical clustering in identifying the events in a time ... See full document
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