872 search results - page 22 / 175 » Evolving Complex Neural Networks |
AINA
2010
IEEE
14 years 8 months ago
2010
IEEE
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...
ECAL
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. We present a model of a recurrent neural network with homeostasic units, embodied in a minimalist articulated agent with a single link and joint. The configuration of th...
GIS
2009
ACM
15 years 1 months ago
2009
ACM
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
ACSC
2005
IEEE
15 years 3 months ago
2005
IEEE
The global dynamics of automata networks (such as neural networks) are a function of their topology and the choice of automata used. Evolutionary methods can be applied to the opt...
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NEUROSCIENCE
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...