Forecasting with artificial neural networks:: The state of the art
Interest in using artificial neural networks (ANNs) for forecasting has led to a tremendous
surge in research activities in the past decade. While ANNs provide a great deal of promise …
surge in research activities in the past decade. While ANNs provide a great deal of promise …
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
Artificial Neural Networks (ANNs) are being used increasingly to predict and forecast water
resources variables. In this paper, the steps that should be followed in the development of …
resources variables. In this paper, the steps that should be followed in the development of …
An artificial neural network (p, d, q) model for timeseries forecasting
Artificial neural networks (ANNs) are flexible computing frameworks and universal
approximators that can be applied to a wide range of time series forecasting problems with a …
approximators that can be applied to a wide range of time series forecasting problems with a …
[BOOK][B] Neural networks: an introduction
B Müller, J Reinhardt, MT Strickland - 2012 - books.google.com
Neural Networks presents concepts of neural-network models and techniques of parallel
distributed processing in a three-step approach:-A brief overview of the neural structure of …
distributed processing in a three-step approach:-A brief overview of the neural structure of …
Forecast methods for time series data: a survey
Z Liu, Z Zhu, J Gao, C Xu - Ieee Access, 2021 - ieeexplore.ieee.org
Research on forecasting methods of time series data has become one of the hot spots. More
and more time series data are produced in various fields. It provides data for the research of …
and more time series data are produced in various fields. It provides data for the research of …