A significant academic paper, "Chaos theory meets deep learning: A new approach to time series forecasting" (published in Expert Systems with Applications , Volume 255, Article 124533 ), explores the intersection of non-linear dynamics and artificial intelligence.
: It is cited as a document ID for an LSE Library paper on intergenerational mobility and inequality in Latin America. 124533
: A paper at the Hungarian Academy of Sciences (ID 124533) discusses the relationship between Constitutional principles and Public Administration . A significant academic paper, "Chaos theory meets deep
1. Chaos Theory and Deep Learning in Time Series Forecasting : By using chaos-based feature extraction before feeding
The number appears to refer to several distinct academic and technical documents. To provide the most helpful informative paper, I have summarized the two most prominent topics associated with this identifier: Time Series Forecasting using Chaos Theory and the "Illusory Consensus Effect" in psychology.
: By using chaos-based feature extraction before feeding data into neural networks, the accuracy of long-term predictions in complex fields like economics, weather, and engineering is significantly improved. 2. The Illusory Consensus Effect
: The researchers propose a framework that combines Chaos Theory (to identify and reconstruct the hidden structure of the data) with Deep Learning models like LSTMs or Transformers.