Neural Networks
Practical neural network recipes in C++
Practical neural network recipes in C++
POLYCOST: A telephone-speech database for speaker recognition
Speech Communication - Speaker recognition and its commercial and forensic applications
Journal of Global Optimization
On-line learning algorithms for locally recurrent neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A general regression neural network
IEEE Transactions on Neural Networks
Diagonal recurrent neural networks for dynamic systems control
IEEE Transactions on Neural Networks
Fuzzy Evolutionary Probabilistic Neural Networks
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Computers and Electrical Engineering
Neural network and wavelet average framing percentage energy for atrial fibrillation classification
Computer Methods and Programs in Biomedicine
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An extension of the well-known probabilistic neural network (PNN) to generalized locally recurrent PNN (GLR PNN) is introduced. The GLR PNN is derived from the original PNN by incorporating a fully connected recurrent layer between the pattern and output layers. This extension renders GLR PNN sensitive to the context in which events occur, and therefore, capable of identifying temporal and spatial correlations. In the present work, this capability is exploited to improve the speaker verification performance. A fast three-step method for training GLR PNNs is proposed. The first two steps are identical to the training of original PNNs, while the third step is based on the differential evolution (DE) optimization method.