Journal Article

·2022

Temporal Convolutional Networks with RNN approach for chaotic time series prediction

Hatice Vildan Düdükçü YTU , Murat Taşkıran YTU , Zehra Gülru Çam Taşkıran YTU , Tülay Yıldırım YTU

Applied Soft Computing

No open-access abstract is available for this article. Use the DOI link on the right to read the full text.

Keywords

Computer science Chaotic Recurrent neural network Benchmark (surveying) Time series Artificial intelligence Artificial neural network Machine learning Deep learning Lorenz system Series (stratigraphy) Stock market prediction Data mining Stock market

Subject Areas

Stock Market Forecasting Methods ·Management Science and Operations Research ·Social Sciences
Energy Load and Power Forecasting ·Electrical and Electronic Engineering ·Physical Sciences
Time Series Analysis and Forecasting ·Signal Processing ·Physical Sciences

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