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AUSDM
2006
Springer
125views Data Mining» more  AUSDM 2006»
15 years 9 months ago
Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach
This paper explores the size and value effect in influencing performance of individual companies using backpropagation neural networks. According to existing theory, companies wit...
Justin Luu, Paul J. Kennedy
151
Voted
ISCAS
1995
IEEE
116views Hardware» more  ISCAS 1995»
15 years 9 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 7 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 5 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...
147
Voted
TNN
2008
100views more  TNN 2008»
15 years 4 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