Multiscale BiLinear Recurrent Neural Network with an Adaptive Learning Algorithm

In this paper, a wavelet-based neural network architecture called the Multiscale BiLinear Recurrent Neural Network with an adaptive learning algorithm (M-BLRNN(AL)) is proposed. The proposed M-BLRNN(AL) is formulated by a combination of several BiLinear Recurrent Neural Network (BLRNN) models in whi...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Min, Byung-Jae, Tran, Chung Nguyen, Park, Dong-Chul
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive Learning Algorithmics. Computability. Computer arithmetics Applied sciences Artificial intelligence Asynchronous Transfer Mode Computer science control theory systems Exact sciences and technology Normalize Mean Square Error Pattern recognition. Digital image processing. Computational geometry Recurrent Neural Network Resolution Level Theoretical computing
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