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Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting
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A novel hybrid classification model of artificial neural networks and multiple linear regression models
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Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs)
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Combining seasonal ARIMA models with computational intelligence techniques for time series forecasting
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A fuzzy intelligent approach to the classification problem in gene expression data analysis
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A hybrid computational intelligence model for foreign exchange rate forecasting
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Simultaneous Lot Sizing and Scheduling in a Flexible Flow Line
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effects of imperfect products on lot sizing with work in process inventory
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Which Methodology is Better for Combining Linear and Nonlinear Models for Time Series Forecasting
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A New Hybrid Methodology for Nonlinear Time Series Forecasting
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