Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China

Application of an Autoregressive Integrated Moving Average Model for Predicting the Incidence of Hemorrhagic Fever with Renal Syndrome

(2012) Qi Li et al.   AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE

Development of temporal modeling for prediction of dengue infection in Northeastern Thailand

(2012) Siriwan Wongkoon et al.   Asian Pacific Journal of Tropical Medicine

Forecasting incidence of hemorrhagic fever with renal syndrome in China using ARIMA model

(2011) Qiyong Liu et al.   BMC INFECTIOUS DISEASES

A multi-tiered time-series modelling approach to forecasting respiratory syncytial virus incidence at the local level

(2011) M. C. SPAEDER et al.   EPIDEMIOLOGY AND INFECTION

BP Neural Network of Continuous Casting Technological Parameters and Secondary Dendrite Arm Spacing of Spring Steel

(2011) Li-hong JIANG et al.   JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL

A case study on a hybrid wind speed forecasting method using BP neural network

(2011) Zhen-hai Guo et al.   KNOWLEDGE-BASED SYSTEMS

On comparing three artificial neural networks for wind speed forecasting

(2010) Gong Li et al.   APPLIED ENERGY

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting

(2010) Mehdi Khashei et al.   APPLIED SOFT COMPUTING

Comparison of three time-series models for predicting campylobacteriosis risk

(2010) J. WEISENT et al.   EPIDEMIOLOGY AND INFECTION

Burden of typhoid and paratyphoid fever in a densely populated urban community, Dhaka, Bangladesh

(2010) Aliya Naheed et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Piecewise finite series solutions of seasonal diseases models using multistage Adomian method

(2009) Gilberto González-Parra et al.   Communications in Nonlinear Science and Numerical Simulation

A hybrid neural network and ARIMA model for water quality time series prediction

(2009) Durdu Ömer Faruk   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A maze learning comparison of Elman, long short-term memory, and Mona neural networks

(2009) Thomas E. Portegys   NEURAL NETWORKS

Improving artificial neural networks’ performance in seasonal time series forecasting

(2008) C HAMZACEBI   INFORMATION SCIENCES

Three hours ahead prevision of SO2 pollutant concentration using an Elman neural based forecaster

(2006) U. Brunelli et al.   BUILDING AND ENVIRONMENT