Searching for authors named Pierre Massotte – sorted by Relevance.
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A "Recruiting Neural-Gas" for Function Approximation
- A new algorithm for function approximation with an artificial neural network is presented. It is based on Neural-Gas networks which combine self-organization of the neurons in the input space and supervised learning of the output values according to the function to approximate. In that paper, the or
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C-SOM: A Continuous Self-Organizing Map for Function Approximation
- We propose a new method called C-SOM using a Self-Organizing Map (SOM) for function approximation. C-SOM takes care about the output values of the winning neuron's neighbors of the map to compute the output value associated with the input data. Our work extends the standard SOM with a combination o
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