Articles

type: Journal
Title DOI Date
Fuzzy artificial neural network (p d q) model for incomplete financial time series forecasting #
Hybrid fuzzy autoregressive integrated moving average (FARIMAH) model for forecasting the foreign exchange markets #
A Bi-Level Neural- Based Fuzzy classification Approach for Credit Scoring Problem #
Profit maximization in simultaneous lot-sizing and scheduling problem #
Overview and Comparison of Short-term Interval Models for Financial Time Series Forecasting #
A new class of hybrid models for time series forecasting #
Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting #
A novel hybrid classification model of artificial neural networks and multiple linear regression models #
Combining seasonal ARIMA models with computational intelligence techniques for time series forecasting #
Hybridization of autoregressive integrated moving average (ARIMA) with probabilistic neural networks (PNNs) #
A fuzzy intelligent approach to the classification problem in gene expression data analysis #
A hybrid computational intelligence model for foreign exchange rate forecasting #
type: Conference
Title Date
An Enhanced Neural-based Methodology for Combining Linear and Nonlinear Models for Exchange Rate Forecasting
An Integrated model for non cyclical maintenance planning and production planning
A Mathematical Model for Profit Maximization General Lot-sizing and Scheduling Problem (PGLSP)
Minimizing Maximum Earliness and Tardiness on a Single Machine using a Novel Heuristic Approach
Stochastic Lot-Sizing Maximising Probability of Meeting Target Profit
foreign exchange rate forecasting using improved artificial neural networks in incomplete data
Overview and Comparison of Short-term Interval Models for Financial Time Series Forecasting
Foreign Exchange Rate Forecasting Using Improved Artificial Neural Networks in Incomplete Data