CLASSIFICATION OF COMPLEX TWO-DIMENSIONAL IMAGES IN A PARALLEL DISTRIBUTED PROCESSING ARCHITECTURE ...
Neural network analysis is proposed and evaluated as a method of analysis of marine biological data, specifically images of plankton specimens. The quantification of the various plankton species is of great scientific importance, from modelling global climatic change to predicting the economic effec...
Main Author: | |
---|---|
Format: | Text |
Language: | unknown |
Published: |
University of Plymouth
1992
|
Subjects: | |
Online Access: | https://dx.doi.org/10.24382/4521 https://pearl.plymouth.ac.uk/handle/10026.1/1843 |
id |
ftdatacite:10.24382/4521 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.24382/4521 2024-02-27T08:43:27+00:00 CLASSIFICATION OF COMPLEX TWO-DIMENSIONAL IMAGES IN A PARALLEL DISTRIBUTED PROCESSING ARCHITECTURE ... SIMPSON, ROBERT GILMOUR 1992 https://dx.doi.org/10.24382/4521 https://pearl.plymouth.ac.uk/handle/10026.1/1843 unknown University of Plymouth Text article-journal Thesis ScholarlyArticle 1992 ftdatacite https://doi.org/10.24382/4521 2024-02-01T15:58:11Z Neural network analysis is proposed and evaluated as a method of analysis of marine biological data, specifically images of plankton specimens. The quantification of the various plankton species is of great scientific importance, from modelling global climatic change to predicting the economic effects of toxic red tides. A preliminary evaluation of the neural network technique is made by the development of a back-propagation system that successfully learns to distinguish between two co-occurring morphologically similar species from the North Atlantic Ocean, namely Ceratium arcticum and C. longipes. Various techniques are developed to handle the indeterminately labelled source data, pre-process the images and successfully train the networks. An analysis of the network solutions is made, and some consideration given to how the system might be extended. ... Text North Atlantic DataCite Metadata Store (German National Library of Science and Technology) Handle The ENVELOPE(161.983,161.983,-78.000,-78.000) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
description |
Neural network analysis is proposed and evaluated as a method of analysis of marine biological data, specifically images of plankton specimens. The quantification of the various plankton species is of great scientific importance, from modelling global climatic change to predicting the economic effects of toxic red tides. A preliminary evaluation of the neural network technique is made by the development of a back-propagation system that successfully learns to distinguish between two co-occurring morphologically similar species from the North Atlantic Ocean, namely Ceratium arcticum and C. longipes. Various techniques are developed to handle the indeterminately labelled source data, pre-process the images and successfully train the networks. An analysis of the network solutions is made, and some consideration given to how the system might be extended. ... |
format |
Text |
author |
SIMPSON, ROBERT GILMOUR |
spellingShingle |
SIMPSON, ROBERT GILMOUR CLASSIFICATION OF COMPLEX TWO-DIMENSIONAL IMAGES IN A PARALLEL DISTRIBUTED PROCESSING ARCHITECTURE ... |
author_facet |
SIMPSON, ROBERT GILMOUR |
author_sort |
SIMPSON, ROBERT GILMOUR |
title |
CLASSIFICATION OF COMPLEX TWO-DIMENSIONAL IMAGES IN A PARALLEL DISTRIBUTED PROCESSING ARCHITECTURE ... |
title_short |
CLASSIFICATION OF COMPLEX TWO-DIMENSIONAL IMAGES IN A PARALLEL DISTRIBUTED PROCESSING ARCHITECTURE ... |
title_full |
CLASSIFICATION OF COMPLEX TWO-DIMENSIONAL IMAGES IN A PARALLEL DISTRIBUTED PROCESSING ARCHITECTURE ... |
title_fullStr |
CLASSIFICATION OF COMPLEX TWO-DIMENSIONAL IMAGES IN A PARALLEL DISTRIBUTED PROCESSING ARCHITECTURE ... |
title_full_unstemmed |
CLASSIFICATION OF COMPLEX TWO-DIMENSIONAL IMAGES IN A PARALLEL DISTRIBUTED PROCESSING ARCHITECTURE ... |
title_sort |
classification of complex two-dimensional images in a parallel distributed processing architecture ... |
publisher |
University of Plymouth |
publishDate |
1992 |
url |
https://dx.doi.org/10.24382/4521 https://pearl.plymouth.ac.uk/handle/10026.1/1843 |
long_lat |
ENVELOPE(161.983,161.983,-78.000,-78.000) |
geographic |
Handle The |
geographic_facet |
Handle The |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_doi |
https://doi.org/10.24382/4521 |
_version_ |
1792051436741197824 |