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Efficient Modeling of Contextual Mappings by Context-dependent Feedforward and Recurrent Neural Nets
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006The paper addresses the issue of solving real world problems by neural nets. The motivations for using contextual information in modeling complex dependencies between input data are discussed. The models of a context-dependent neuron and multi-layer perceptron are recalled along with a brief discussion on their properties and efficient training ...
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The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998Recurrent nets are in principle capable to store past inputs to produce the currently desired output. Because of this property recurrent nets are used in time series prediction and process control. Practical applications involve temporal dependencies spanning many time steps, e.g. between relevant inputs and desired outputs.
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Alpha-nets: A recurrent ‘neural’ network architecture with a hidden Markov model interpretation
Speech Communication, 1990Abstract A hidden Markov model isolated word recogniser using full likelihood scoring for each word model can be treated as a recurrent ‘neural’ network. The units in the recurrent loop are linear, but the observations enter the loop via a multiplication.
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Recurrent neural nets as building blocks for human word recognition
2nd European Conference on Speech Communication and Technology (Eurospeech 1991), 1991Peter Wittenburg, R. Couwenberg
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DRC-NET: Densely Connected Recurrent Convolutional Neural Network for Speech Dereverberation
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022Jinjiang Liu, Xueliang Zhang 0001
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Classification of conductance traces with recurrent neural networks
Journal of Chemical Physics, 2018Kasper Primdal Lauritzen +2 more
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Identification of linear and nonlinear dynamic systems using recurrent neural networks
Advanced Engineering Informatics, 1993D T Pham
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On-line learning algorithms for locally recurrent neural networks
IEEE Transactions on Neural Networks, 1999P Campolucci +2 more
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