The PRSOM give an estimation of the density probability function of the data, this density dependent on the parameters of the PRSOM, such as the architecture.

We propose a speech compression technique based on vector quantization. The main innovation is the use of an optimal probabilistic self-organizing map to.

The probabilistic self-organizing map (PRSOM) is an improved version of the Kohonen classical model (SOM) that appeared in the late 1990's.

The PRSOM give an estimation of the density probability function of the data, this density dependent on the parameters of the PRSOM, such as the architecture.

The probabilistic self-organizing map (PRSOM) is an improved version of the Kohonen classical model (SOM) that appeared in the late 1990's.

The probabilistic self-organizing map (PRSOM) is an improved version of the Kohonen classical model (SOM) that appeared in the late 1990's.

Bibliographic details on Architecture Optimization Model for the Probabilistic Self-Organizing Maps and Speech Compression.

... Probabilistic Self Organizing Maps ... To formulate this model we SELF-ORGANIZING ARCHITECTURE MAPS ... Organizing Maps and Speech Compression", International ...

In section 3 we introduce the proposed mathematical model to Probabilistic Self-Organizing Maps ... optimization model for the probabilistic self-organizing.

This paper model this problem of neural architecture in terms of a mixed-integer non linear problem with linear constraints and proposes the genetic ...