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» Multilayer neural networks and Bayes decision theory
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NIPS
2008
13 years 9 months ago
Hebbian Learning of Bayes Optimal Decisions
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass
NECO
2008
108views more  NECO 2008»
13 years 7 months ago
Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus
Previous theoretical work has shown that a single layer neural network can implement the optimal decision process for simple, two alternative forced choice (2AFC) tasks. However, ...
Eric Shea-Brown, Mark S. Gilzenrat, Jonathan D. Co...
ICMLA
2008
13 years 9 months ago
Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
In this paper, a grey neuro-adaptive control algorithm is suggested for Antilock Braking Systems (ABS). The concept of grey system theory, which has a certain prediction capabilit...
Erdal Kayacan, Yesim Oniz, Okyay Kaynak, Andon V. ...
ISDA
2006
IEEE
14 years 1 months ago
Modular Neural Network Task Decomposition Via Entropic Clustering
The use of monolithic neural networks (such as a multilayer perceptron) has some drawbacks: e.g. slow learning, weight coupling, the black box effect. These can be alleviated by t...
Jorge M. Santos, Luís A. Alexandre, Joaquim...
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ISNN
2010
Springer
13 years 6 months ago
MULP: A Multi-Layer Perceptron Application to Long-Term, Out-of-Sample Time Series Prediction
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
Eros Pasero, Giovanni Raimondo, Suela Ruffa