This paper introduces a new analysis of the output map of Kohonen's self-organizing map. Using this analysis we are able to use the SOM as a supervised net.
Abstmct-This paper introduces a new analysis of the output map of Kohonen's Self-organking Map. Using this analysis we are able to use the SOM as a super-.
People also ask
What is probabilistic neural network for classification?
What is a self-organizing neural network?
What is architecture for neural network classification?
What is probabilistic neural network for brain tumor classification?
A new neural network architecture called the Parallel Probabilistic Self-organizing Hierarchical Neural Network (PPSHNN) is introduced.
The probabilistic self-organizing map (PRSOM) is an improved version of the Kohonen classical model (SOM) that appeared in the late 1990's.
This paper presents a hybrid classifier based on extended Self Organizing Map with Probabilistic Neural Network. In this approach, at first we use feature ...
We propose in this paper a new learning algorithm probabilistic self-organizing map (PRSOM) using a probabilistic formalism for topological maps.
Missing: architecture. | Show results with:architecture.
The probabilistic self-organizing map (PRSOM) is an improved version of the Kohonen classical model (SOM) that appeared in the late 1990's.
Sep 13, 2018 · In this paper, we present a self-organizing neural network for the recognition of human-object interactions from RGB-D videos.
Self-organizing feature maps (SOFM) learn to classify input vectors according to how they are grouped in the input space.
In the present paper we describe a recent approach of probabilistic self-organizing maps (PRSOM). The PRSOM become more and more interesting in many fields.