Sarima Versus Time Lagged Feedforward Neural Networks in Forecasting Precipitation

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting

Time Series Forecasting (TSF) is an important tool to support decision making (e.g., planning production resources). Artificial Neural Networks (ANN) are innate candidates for TSF due to advantages such as nonlinear learning and noise tolerance. However, the search for the best model is a complex task that highly affects the forecasting performance. In this work, we propose two novel Evolutiona...

متن کامل

Neural Networks Versus Time Series Methods: A Forecasting Exercise1

This paper presents an empirical exercise in economic forecast using traditional time series methods, such as ARIMA and unobservable components models (UCM), and artificial neural networks (ANN). We use monthly gross industrial output data for the state of Rio Grande do Sul (Brazil) to perform a comparative exercise and access the relative performance of the different forecasting methods. The r...

متن کامل

Forecasting Exchange Rates Using Feedforward and Recurrent Neural Networks

JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. SUMMARY In this paper we investigate the out-of-sample for...

متن کامل

Feedforward Neural Networks for Very Short Term Wind Speed Forecasting

Since 2007 wind has become the major source of renewable energy in the UK. Moreover, increasing oil costs are driving researchers in the marine transport field to develop innovating wind ships. In order for wind power to be effectively and efficiently exploited, reliable forecasts on wind speed are needed. These will allow saving curtailments costs, improving safety, reducing damages due to ext...

متن کامل

Feedforward Neural Nets as Models for Time Series Forecasting

We have studied neural networks as models for time series forecasting, and our research compares the Box-Jenkins method against the neural network method for long and short term memory series. Our work was inspired by previously published works that yielded inconsistent results about comparative performance. We have since experimented with 16 time series of di ering complexity using neural netw...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: American Journal of Theoretical and Applied Statistics

سال: 2016

ISSN: 2326-8999

DOI: 10.11648/j.ajtas.20160506.15