Pages that link to "Item:Q2862356"
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The following pages link to Time-series forecasting with a novel fuzzy time-series approach: an example for Istanbul stock market (Q2862356):
Displaying 11 items.
- A hybrid fuzzy time series approach based on fuzzy clustering and artificial neural network with single multiplicative neuron model (Q473814) (← links)
- First-order ARMA type fuzzy time series method based on fuzzy logic relation tables (Q474624) (← links)
- An ARMA type fuzzy time series forecasting method based on particle swarm optimization (Q474751) (← links)
- A new high order fuzzy ARMA time series forecasting method by using neural networks to define fuzzy relations (Q1664677) (← links)
- A new procedure in stock market forecasting based on fuzzy random auto-regression time series model (Q2198011) (← links)
- High order fuzzy time series forecasting method based on an intersection operation (Q2293529) (← links)
- Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm (Q2297093) (← links)
- A new fuzzy functions model tuned by hybridizing imperialist competitive algorithm and simulated annealing. Application: stock price prediction (Q2510472) (← links)
- Evolving possibilistic fuzzy modelling (Q5106863) (← links)
- A sliding window-based multi-stage clustering and probabilistic forecasting approach for large multivariate time series data (Q5106942) (← links)
- A two-step machine learning approach to predict S&P 500 bubbles (Q5861221) (← links)
