793 search results - page 50 / 159 » Input Modeling Tools for Complex Problems |
118
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ISNN
2007
Springer
15 years 8 months ago
2007
Springer
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
101
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IJAR
2006
15 years 2 months ago
2006
Although influence diagrams are powerful tools for representing and solving complex decisionmaking problems, their evaluation may require an enormous computational effort and this...
118
Voted
IJCNN
2007
IEEE
15 years 8 months ago
2007
IEEE
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
130
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BIOCOMP
2007
15 years 3 months ago
2007
Abstract—This paper presents a stochastic modelling framework for complex biochemical reaction networks from a component-based perspective. Our approach takes into account the di...
128
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BMCBI
2007
15 years 2 months ago
2007
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...