HÉNON, Monsieur Jules (2020) Systèmes chaotiques et prédiction par réseaux de neurones PRE - Research Project, ENSTA.



Predicting the stock price of gold for the next month is a common dream for many shareholders. However, just like the meteorologist and his weather report, it's a safe bet that the forecasts will prove to be wrong beyond a few weeks. At the heart of our daily life, Chaos is a recent eld of mechanics which governs a large number of systems, sometimes at the heart of our concerns as is the case with climate. This report rst seeks to enlighten the reader on the denition of Chaos and its most notable manifestations. Subsequently, elements of understanding related to the construction of neural networks and deep learning are provided. A discussion then opens on the results obtained from neuronal prediction models. Last but not least, a demonstration is made on the importance and benets of including physical sense in the construction and training of neural networks.

Item Type:Thesis (PRE - Research Project)
Subjects:Mathematics and Applications
Materials Science, Mechanics and Mechanical Engineering
Physics, Optics
ID Code:7979
Deposited By:jules-jean-patrice Henon
Deposited On:30 juill. 2020 10:07
Dernière modification:30 juill. 2020 10:07

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