(PDF) The Power of Linear Recurrent Neural Networks
Recurrent neural networks are a powerful means to cope with time series. We show how a type of linearly activated recurrent neural networks, which we call predictive neural networks, can approximate any time-dependent function f(t) given by…
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(PDF) Training Recurrent Networks by Evolino
Training Recurrent Networks by Evolino
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Antioxidants, inflammation and cardiovascular disease - PMC
Multiple factors are involved in the etiology of cardiovascular disease (CVD). Pathological changes occur in a variety of cell types long before symptoms become apparent and diagnosis is made.
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Ing. Petr Tichavský, DSc. | Institute of Information Theory and…
UTIA of the CAS is a public research institute focused on AI, signal processing, systems theory, and applied mathematics. It conducts top-level research, cooperates with universities, and contributes to science and practice.
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