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A Bayesian Network Approach for Causal Action Rule Mining
AN EXTENDED FUZZY ARTIFICIAL NEURAL NETWORKS MODEL FOR TIME SERIES FORECASTING
AN EXTENDED FUZZY ARTIFICIAL NEURAL NETWORKS MODEL FOR TIME SERIES FORECASTING
Application of Multiple Linear Regression and Artificial Neural Network Algorithms to Predict the Total Hand Value of Summer Knitted T-shirts
Application of Multiple Linear Regression and Artificial Neural Network Algorithms to Predict the Total Hand Value of Summer Knitted T-shirts
A new approach to improve neural networks algorithm in permeability prediction of petroleum reservoirs using supervised committee machine neural network (SCMNN)
Pricing Decisions in Dual-Channel Supply Chain Including Monopolistic Manufacturer and Duopolistic Retailers: A Game-Theoretic Approach
Pricing Decisions in Dual-Channel Supply Chain Including Monopolistic Manufacturer and Duopolistic Retailers: A Game-Theoretic Approach
Pricing Decisions in Dual-Channel Supply Chain Including Monopolistic Manufacturer and Duopolistic Retailers: A Game-Theoretic Approach
Evaluation of concrete compressive strength using artificial neural network and multiple linear regression models
Optimum Sensor Selection Based on Energy Constraints in Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks
Optimum Sensor Selection Based on Energy Constraints in Cooperative Spectrum Sensing for Cognitive Radio Sensor Networks
Robust Deflection Indices from Traffic-Speed Deflectometer Measurements to Predict Critical Pavement Responses for Network-Level Pavement Management System Application
complexity Reduction of Throughput optimal Link Scheduling algorithm through toology Contorol in Wireless Networks
complexity Reduction of Throughput optimal Link Scheduling algorithm through toology Contorol in Wireless Networks