Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Neural network approach to lumpy demand forecasting for spare parts in process industries
Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model
Recurrent neural networks for short-term load forecasting
Time series forecasting using neural networks
Supply Chain Forecasting: Theory, Practice, their Gap and the Future
Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department
Power Load Forecasting with Least Squares Support Vector Machines and Chaos Theory
A hybrid neural network-first principles approach to process modeling
Another Look at Forecast-Accuracy Metrics for Intermittent Demand
Short-term load forecasting methods: A review
Fast Prediction for Sparse Time Series: Demand Forecast of EV Charging Stations for Cell Phone Applications
An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination.
Part Quality Prediction in an Injection Moulding Process Using Neural Networks
Electric Load Forecasting Using an Artificial Neural Network
stochastic models underlying croston ' s method for intermittent demand forecasting .
A Neural Network Integrated Decision Support System for Condition-Based Optimal Predictive Maintenance Policy
Different Methods of Long-Term Electric Load Demand Forecasting; A Comprehensive Review
Dynamic Process Modeling: Combining Models and Experimental Data to Solve Industrial Problems
improved supply chain management based on hybrid demand forecasts .
Effectiveness of PSO Based Neural Network for Seasonal Time Series Forecasting.
Long Term Annual Electricity Demand Forecasting in Sri Lanka by Artificial Neural Networks
Distributed Edge Cloud R-CNN for Real Time Object Detection
Proteinase activity and stability of natural bromelain preparations.
Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke
A Fast Genetic Algorithm for Solving University Scheduling Problem
A hybrid ARIMA and support vector machines model in stock price forecasting