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ISCAS
1995
IEEE
116views Hardware» more  ISCAS 1995»
15 years 10 months ago
Capabilities and Limitations of Feedforward Neural Networks with Multilevel Neurons
This paper proposes a multilevel logic approach to output coding using multilevel neurons in the output layer. Training convergence for a single multilevel perceptron is considere...
Aleksander Malinowski, Tomasz J. Cholewo, Jacek M....
DELTA
2008
IEEE
15 years 8 months ago
A Spiking Neural Network for Gas Discrimination Using a Tin Oxide Sensor Array
We propose a bio-inspired signal processing method for odor discrimination. A spiking neural network is trained with a supervised learning rule so as to classify the analog outputs...
Maxime Ambard, Bin Guo, Dominique Martinez, Amine ...
BMCBI
2004
100views more  BMCBI 2004»
15 years 6 months ago
Auto-validation of fluorescent primer extension genotyping assay using signal clustering and neural networks
Background: SNP genotyping typically incorporates a review step to ensure that the genotype calls for a particular SNP are correct. For high-throughput genotyping, such as that pr...
Ching Yu Austin Huang, Joel F. Studebaker, Anton Y...
TNN
2008
100views more  TNN 2008»
15 years 5 months ago
Global Exponential Stability of Bidirectional Associative Memory Neural Networks With Time Delays
Abstract--In this paper, we consider delayed bidirectional associative memory (BAM) neural networks (NNs) with Lipschitz continuous activation functions. By applying Young's i...
Xin-Ge Liu, Ralph R. Martin, Min Wu, Mei-Lan Tang
TSD
2010
Springer
15 years 4 months ago
Adaptation of a Feedforward Artificial Neural Network Using a Linear Transform
In this paper we present a novel method for adaptation of a multi-layer perceptron neural network (MLP ANN). Nowadays, the adaptation of the ANN is usually done as an incremental r...
Jan Trmal, Jan Zelinka, Ludek Müller