Notice of Violation of IEEE Publication Principles" Artificial Neural Networks: Its Techniques
and Applications to Forecasting," by A. Gupta, AO Salau, P. Chaturvedi, SA Akinola and N …

Forecasting financial market trends is one of the most important tasks for investors.
Traditional methods are complemented by machine learning methods, the potential of which …

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 …

Artificial neural networks (ANNs) are flexible computing frameworks and universal
approximates that can be applied to a wide range of time series forecasting problems with a …

There is decades long research interest in artificial neural networks (ANNs) that has led to
several successful applications. In forecasting, both in theoretical and empirical works …

Artificial Intelligence Neural Networks are one of the techniques used for prediction. This
ANN is rapidly evolving. At the moment, neural networks are implementing used a variety of …

Artificial neural networks (ANNs), in recent years, have become one of the more promising
paradigms in computing technology. ANNs are different from any other computing …

Artificial intelligence through deep neural networks is now widely used in a variety of
applications that have profoundly altered human livelihoods in a variety of ways. People's …

In this paper, a one-step forecasting comparison using a simulated nonlinear autoregressive
moving-average time series (NARMA) was conducted between two groups of neural …

The weather conditions such as Minimum temperature, Precipitation Rate, wind speed,
Maximum temperature, pressure etc. have many important roles in the field of cultivation. In …