Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A Hybrid ARIMA and Neural Network Model to Forecast Particulate Matter Concentration in Changsha , China
A hybrid neural network and ARIMA model for water quality time series prediction
Time series prediction based on NARX neural networks: An advanced approach
Data Assimilation by Artificial Neural Networks for an Atmospheric General Circulation Model: Conventional Observation
Toward Automatic Time-Series Forecasting Using Neural Networks
Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model
Deep Learning Model to Estimate Air Pollution Using M-BP to Fill in Missing Proxy Urban Data
Applying machine learning techniques on air quality data for real-time decision support
An artificial neural network model for river flow forecasting a comparison between ANN and ARIMA
A simulation study of arti " cial neural networks for nonlinear time-series forecasting
Mining PM2.5 and traffic conditions for air quality
Soft-computing techniques and ARMA model for time series prediction
Traffic forecasting for mobile networks with multiplicative seasonal ARIMA models
Time Series Prediction Using DBN and ARIMA
financial time series forecasting using artificial neural networks .
Comparison of direct and iterative artificial neural network forecast approaches in multi-periodic time series forecasting
A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis
artificial neural networks applied to forecasting time series .
Applications of Recurrent Neural Networks in Environmental Factor Forecasting: A Review
An Improved Photovoltaic Power Forecasting Model With the Assistance of Aerosol Index Data
Modelling Indoor Air Carbon Dioxide (CO2) Concentration using Neural Network
Disentangling factors of variation in deep representations using adversarial training
Towards automatic encoding of medical procedures using convolutional neural networks and autoencoders
Petri Nets : Properties , Analysis and Appl ka t ions
Neural Networks: A Systematic Introduction
Natural antimicrobial peptides from bacteria: characteristics and potential applications to fight against antibiotic resistance.