Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms

Support vector machines in engineering: an overview

(2014) S. Salcedo-Sanz et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks

(2013) John Abbot et al.   ATMOSPHERIC RESEARCH

Can temperature extremes in China be calculated from reanalysis?

(2013) Qinglong You et al.   GLOBAL AND PLANETARY CHANGE

An analysis of the meteorological variables leading to apparent temperature in Australia: Present climate, trends, and global warming simulations

(2013) Stephanie J. Jacobs et al.   GLOBAL AND PLANETARY CHANGE

Multiple regression and Artificial Neural Network for long-term rainfall forecasting using large scale climate modes

(2013) F. Mekanik et al.   JOURNAL OF HYDROLOGY

Estimating Air Temperature and Its Influence on Malaria Transmission across Africa

(2013) Tini Garske et al.   PLoS One

Application of artificial neural networks to rainfall forecasting in Queensland, Australia

(2012) John Abbot et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Least squares support vector machine for short-term prediction of meteorological time series

(2012) A. Mellit et al.   THEORETICAL AND APPLIED CLIMATOLOGY

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Accurate local very short-term temperature prediction based on synoptic situation Support Vector Regression banks

(2011) E.G. Ortiz-García et al.   ATMOSPHERIC RESEARCH

Reconciling anthropogenic climate change with observed temperature 1998-2008

(2011) R. K. Kaufmann et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Prediction of daily maximum temperature using a support vector regression algorithm

(2011) A. Paniagua-Tineo et al.   RENEWABLE ENERGY

Heat and health in Adelaide, South Australia: Assessment of heat thresholds and temperature relationships

(2011) Susan Williams et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Support vector regression with reduced training sets for air temperature prediction: a comparison with artificial neural networks

(2010) Robert F. Chevalier et al.   NEURAL COMPUTING & APPLICATIONS

Ambient temperature modelling with soft computing techniques

(2010) Ilaria Bertini et al.   SOLAR ENERGY

Artificial neural networks for automated year-round temperature prediction

(2009) Brian A. Smith et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improving the training time of support vector regression algorithms through novel hyper-parameters search space reductions

(2009) Emilio G. Ortiz-García et al.   NEUROCOMPUTING

Forecast of daily mean, maximum and minimum temperature time series by three artificial neural network methods

(2008) B. Ustaoglu et al.   METEOROLOGICAL APPLICATIONS

Daily means ambient temperature prediction using artificial neural network method: A case study of Turkey

(2008) Ömer Altan Dombaycı et al.   RENEWABLE ENERGY