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Erschienen in:
Improving Automatic Classifiers Through Interaction Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A Novel Convolutional Neural Network with Glial Cells

verfasst von : Marcin Korytkowski

Erschienen in: Artificial Intelligence and Soft Computing

Verlag: Springer International Publishing

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Abstract

The research presented in the paper was inspired by the work of R. Douglas Fields. It transpired that not only neural structures in the brain play huge role in the process of understanding but also glial cells, which have so far been treated as passive cells with the task of protecting neuronal cells. This was a motivation to the proposed idea that currently extremely popular convolutional neural networks should be equipped with some elements corresponding to glial cells. In this work we present a modification of convolutional structures, which consist in adding additional adjustable parameters. The parameters control convolutional filter outputs. This approach allowed us to improve the quality of classification. In addition, the newly proposed structure is easier to interpret by indicating which filters are specific to a particular class of visual objects.

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Vorheriges Kapitel Neural Video Compression Based on RBM Scene Change Detection Algorithm
Nächstes Kapitel Examination of the Deep Neural Networks in Classification of Distorted Signals
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Metadaten
Titel
A Novel Convolutional Neural Network with Glial Cells
verfasst von
Marcin Korytkowski
Copyright-Jahr
2016
Buch
Artificial Intelligence and Soft Computing

Print ISBN: 978-3-319-39383-4

Electronic ISBN: 978-3-319-39384-1

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-39384-1_59