374 search results - page 11 / 75 » Training the random neural network using quasi-Newton method... |
113
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AINA
2010
IEEE
14 years 10 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...
GECCO
1999
Springer
15 years 4 months ago
1999
Springer
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
AMC
2007
14 years 11 months ago
2007
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
NIPS
1992
15 years 25 days ago
1992
We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...
134
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NCA
2006
IEEE
14 years 11 months ago
2006
IEEE
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...