Neural Prediction of Chaotic Time Series Using Stochastic Gradient Ascent Algorithm
نویسندگان
چکیده
منابع مشابه
Neural Networks for Chaotic Time Series Prediction
There are many systems that can be described as chaotic: The readings from seismic monitoring stations in mines which describe the rock dynamics, from EKG which describe the fibrillation of a cardiac patient’s heart, and the share prices in financial markets which describe the optimism about the earning potential of companies are examples of observations of deterministic, non−linear, dynamical ...
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ژورنال
عنوان ژورنال: Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
سال: 2004
ISSN: 2188-4730,2188-4749
DOI: 10.5687/sss.2004.17