Colloque avec actes et comité de lecture. internationale.International audienceThe determination of the optimal architecture of a multilayer perceptron (MLP) to solve a specific problem is an important and a difficult task. Several approaches based on saliency analysis, such as the Optimal Brain Surgeon method (OBS), have been developed in this field. Nevertheless, we show in this paper that OBS does not gives an optimal architecture. We also present the advantages of applying OBS on the architecture obtained by a variable selection method. New hybrid methods are proposed. A comparison of our approaches to standard techniques for architecture optimization is presented Simulation results obtained on the Monk's problem illustrate the specific...
The proposed metaheuristic optimization algorithm based on the two-step Adams-Bashforth scheme (MOAB...
The design of computer architectures is a very complex problem. The multiple parameters make the num...
The determination of the optimal architecture of a supervised neural network is an important and a d...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper presents t...
The use of information from all second-order derivatives of the error function to perform network pr...
The optimal brain surgeon (OBS) pruning procedure for automatic selection of the optimal neural netw...
We extend Optimal Brain Surgeon (OBS) - a second-order method for pruning networks - to allow for ge...
PropÃe-se nesta tese um mÃtodo de poda de pesos para redes Perceptron Multicamadas (MLP). TÃcnicas c...
Producción CientíficaChannel selection procedures are essential to reduce the curse of dimensionali...
In image-guided minimally invasive surgery, a precise preoperative planning of the surgical tools tr...
This paper highlights the role of new Evolutionary Algorithm (EA) in designing Artificial Neural Net...
In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of s...
Cost optimization approach of operational research is a predictive power and economy of compactness ...
Neural networks tend to achieve better accuracy with training if they are larger -- even if the resu...
Background Image-guided neurosurgery usually involves a point-pair registration between two spaces,...
The proposed metaheuristic optimization algorithm based on the two-step Adams-Bashforth scheme (MOAB...
The design of computer architectures is a very complex problem. The multiple parameters make the num...
The determination of the optimal architecture of a supervised neural network is an important and a d...
Colloque avec actes et comité de lecture. internationale.International audienceThis paper presents t...
The use of information from all second-order derivatives of the error function to perform network pr...
The optimal brain surgeon (OBS) pruning procedure for automatic selection of the optimal neural netw...
We extend Optimal Brain Surgeon (OBS) - a second-order method for pruning networks - to allow for ge...
PropÃe-se nesta tese um mÃtodo de poda de pesos para redes Perceptron Multicamadas (MLP). TÃcnicas c...
Producción CientíficaChannel selection procedures are essential to reduce the curse of dimensionali...
In image-guided minimally invasive surgery, a precise preoperative planning of the surgical tools tr...
This paper highlights the role of new Evolutionary Algorithm (EA) in designing Artificial Neural Net...
In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of s...
Cost optimization approach of operational research is a predictive power and economy of compactness ...
Neural networks tend to achieve better accuracy with training if they are larger -- even if the resu...
Background Image-guided neurosurgery usually involves a point-pair registration between two spaces,...
The proposed metaheuristic optimization algorithm based on the two-step Adams-Bashforth scheme (MOAB...
The design of computer architectures is a very complex problem. The multiple parameters make the num...
The determination of the optimal architecture of a supervised neural network is an important and a d...