A Note on Topology Preservation in Classification, and the Construction of a Universal Neuron Grid

08/07/2013
by   Dietmar Volz, et al.
0

It will be shown that according to theorems of K. Menger, every neuron grid if identified with a curve is able to preserve the adopted qualitative structure of a data space. Furthermore, if this identification is made, the neuron grid structure can always be mapped to a subset of a universal neuron grid which is constructable in three space dimensions. Conclusions will be drawn for established neuron grid types as well as neural fields.

READ FULL TEXT
research
05/19/2016

AMSOM: Adaptive Moving Self-organizing Map for Clustering and Visualization

Self-Organizing Map (SOM) is a neural network model which is used to obt...
research
07/26/2022

Fractal Images as Number Sequences I An Introduction

In this article, we considered a fractal image as a fractal curve, that ...
research
11/21/2020

Efficient Neural Network Implementation with Quadratic Neuron

Previous works proved that the combination of the linear neuron network ...
research
07/15/2014

Automatic discovery of cell types and microcircuitry from neural connectomics

Neural connectomics has begun producing massive amounts of data, necessi...
research
05/08/2018

Image Ordinal Classification and Understanding: Grid Dropout with Masking Label

Image ordinal classification refers to predicting a discrete target valu...
research
12/19/2013

Delegating Custom Object Detection Tasks to a Universal Classification System

In this paper, a concept of multipurpose object detection system, recent...
research
04/04/2023

Grid-SD2E: A General Grid-Feedback in a System for Cognitive Learning

Comprehending how the brain interacts with the external world through ge...

Please sign up or login with your details

Forgot password? Click here to reset