A sequential hybrid forecasting system for demand prediction

INIS

• applications 33%
• chains 33%
• comparative evaluations 66%
• demand 100%
• forecasting 100%
• hybrid systems 33%
• hybrids 100%
• management 33%
• neural networks 66%
• output 33%
• performance 33%
• prediction 100%
• sales 33%
• supply 33%

Keyphrases

• Autoregressive Integrated Moving Average (ARIMA) 50%
• Demand Forecasting 100%
• Excellent Performance 50%
• Forecasting Techniques 50%
• Future Demand 50%
• Hybrid System 50%
• Network Model 50%
• Neural Network 100%
• Product Sales 50%
• Reliable Estimation 50%
• Supermarket 50%
• Supply Chain Management 50%

Computer Science

• Neural Network 100%
• Supply Chain 50%