Pages that link to "Item:Q5471062"
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The following pages link to Forecasting enrollments using high-order fuzzy time series and genetic algorithms (Q5471062):
Displaying 24 items.
- A new time-invariant fuzzy time series forecasting method based on genetic algorithm (Q446402) (← links)
- A hybrid fuzzy time series approach based on fuzzy clustering and artificial neural network with single multiplicative neuron model (Q473814) (← links)
- Fuzzy forecasting based on automatic clustering and axiomatic fuzzy set classification (Q526657) (← links)
- Forecasting the stock market with linguistic rules generated from the minimize entropy principle and the cumulative probability distribution approaches (Q657512) (← links)
- A new hybrid artificial neural networks and fuzzy regression model for time series forecasting (Q835080) (← links)
- A new method for short multivariate fuzzy time series based on genetic algorithm and fuzzy clustering (Q888670) (← links)
- Deterministic vector long-term forecasting for fuzzy time series (Q983057) (← links)
- A new high order fuzzy ARMA time series forecasting method by using neural networks to define fuzzy relations (Q1664677) (← links)
- Fuzzy time series forecasting model based on automatic clustering techniques and generalized fuzzy logical relationship (Q1667071) (← links)
- Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (Q1750442) (← links)
- Pythagorean fuzzy time series model based on Pythagorean fuzzy c-means and improved Markov weighted in the prediction of the new COVID-19 cases (Q2100459) (← links)
- Improved time-variant fuzzy time series forecast (Q2271111) (← links)
- A novel forecasting method based on multi-order fuzzy time series and technical analysis (Q2282016) (← links)
- High order fuzzy time series forecasting method based on an intersection operation (Q2293529) (← links)
- Long-term prediction of time series based on stepwise linear division algorithm and time-variant zonary fuzzy information granules (Q2330027) (← links)
- Forecasting stock index price based on M-factors fuzzy time series and particle swarm optimization (Q2353990) (← links)
- A FCM-based deterministic forecasting model for fuzzy time series (Q2389422) (← links)
- Low dimensional mid-term chaotic time series prediction by delay parameterized method (Q2660897) (← links)
- Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market (Q2862356) (← links)
- A novel algorithm to forecast enrollment based on fuzzy time series (Q2895640) (← links)
- AN ENHANCED DETERMINISTIC FUZZY TIME SERIES FORECASTING MODEL (Q3393528) (← links)
- Fuzzy Time Series Model for Unequal Interval Length Using Genetic Algorithm (Q5233849) (← links)
- A MODIFIED METHOD FOR FORECASTING PROBLEMS BASED ON HIGHER-ORDER FUZZY LOGICAL RELATIONSHIP (Q5252434) (← links)
- FQTSFM: a fuzzy-quantum time series forecasting model (Q6086300) (← links)
