Analysis of Neocognitron of Neural Network Method
in the String Recognition
Y. Amit Kumar Gupta. International Journal on Network Security, 2 (3):
5(July 2011)
Abstract
This paper aims that analysing neural network method
in pattern recognition. A neural network is a processing device,
whose design was inspired by the design and functioning of
human brain and their components. The proposed solutions
focus on applying Neocognitron Algorithm model for pattern
recognition. The primary function of which is to retrieve in a
pattern stored in memory, when an incomplete or noisy version
of that pattern is presented. An associative memory is a
storehouse of associated patterns that are encoded in some
form. In auto-association, an input pattern is associated with
itself and the states of input and output units coincide. When
the storehouse is incited with a given distorted or partial
pattern, the associated pattern pair stored in its perfect form
is recalled. Pattern recognition techniques are associated a
symbolic identity with the image of the pattern. This problem
of replication of patterns by machines (computers) involves
the machine printed patterns. There is no idle memory
containing data and programmed, but each neuron is
programmed and continuously active.
%0 Journal Article
%1 amitkumargupta2011analysis
%A Amit Kumar Gupta, Yash Pal Singh
%B 3
%D 2011
%E Das, Vinu V
%I The Association of Copmuter Electronics and Electrical Engineers
%J International Journal on Network Security
%K Connection Learning Recognition
%N 3
%P 5
%T Analysis of Neocognitron of Neural Network Method
in the String Recognition
%U http://doi.searchdl.org/01.IJNS.2.3.200
%V 2
%X This paper aims that analysing neural network method
in pattern recognition. A neural network is a processing device,
whose design was inspired by the design and functioning of
human brain and their components. The proposed solutions
focus on applying Neocognitron Algorithm model for pattern
recognition. The primary function of which is to retrieve in a
pattern stored in memory, when an incomplete or noisy version
of that pattern is presented. An associative memory is a
storehouse of associated patterns that are encoded in some
form. In auto-association, an input pattern is associated with
itself and the states of input and output units coincide. When
the storehouse is incited with a given distorted or partial
pattern, the associated pattern pair stored in its perfect form
is recalled. Pattern recognition techniques are associated a
symbolic identity with the image of the pattern. This problem
of replication of patterns by machines (computers) involves
the machine printed patterns. There is no idle memory
containing data and programmed, but each neuron is
programmed and continuously active.
@article{amitkumargupta2011analysis,
abstract = {This paper aims that analysing neural network method
in pattern recognition. A neural network is a processing device,
whose design was inspired by the design and functioning of
human brain and their components. The proposed solutions
focus on applying Neocognitron Algorithm model for pattern
recognition. The primary function of which is to retrieve in a
pattern stored in memory, when an incomplete or noisy version
of that pattern is presented. An associative memory is a
storehouse of associated patterns that are encoded in some
form. In auto-association, an input pattern is associated with
itself and the states of input and output units coincide. When
the storehouse is incited with a given distorted or partial
pattern, the associated pattern pair stored in its perfect form
is recalled. Pattern recognition techniques are associated a
symbolic identity with the image of the pattern. This problem
of replication of patterns by machines (computers) involves
the machine printed patterns. There is no idle memory
containing data and programmed, but each neuron is
programmed and continuously active.
},
added-at = {2012-09-25T08:53:31.000+0200},
author = {Amit Kumar Gupta, Yash Pal Singh},
biburl = {https://www.bibsonomy.org/bibtex/2d9f98c5a4fb94ffa30331968ef7c8c55/ideseditor},
editor = {Das, Vinu V},
interhash = {335776db86d06cb00d1e97a3af155ec9},
intrahash = {d9f98c5a4fb94ffa30331968ef7c8c55},
journal = {International Journal on Network Security},
keywords = {Connection Learning Recognition},
month = {july},
number = 3,
organization = {Institute of Doctors Engineers and scientist(IDES)},
pages = 5,
publisher = {The Association of Copmuter Electronics and Electrical Engineers},
series = 3,
timestamp = {2012-09-25T08:53:31.000+0200},
title = {Analysis of Neocognitron of Neural Network Method
in the String Recognition
},
url = {http://doi.searchdl.org/01.IJNS.2.3.200},
volume = 2,
year = 2011
}