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CELLULAR NEURAL NETWORK
VISHAL DWIVEDI
ROLL NO.1109131118
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Similarity between Neuron and Cell
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ABOUT CNN IN GENERAL
In 1988 papers from Lion O. Chua introduced the
concept of Cellular Neural Network .
CNN can be defined as 2D or 3D arrays of mainly
locally connected non-linear dynamical system called
cells whose dynamics are functionally determined by
a small set of parameters which control the cells inter-
connection strength(Chua).
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Rectangular Grid showing CNN
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Templates
The functionality of the CNN array can be
controlled by the cloning templateA, B, I
WhereA and B are (2r+1) x (2r+1) real
matrices
I is a scalar number in two dimensional
cellular neural networks.
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Logical AND Template
This template creates
the pixel wise AND of
the initial state and the
input The progression of
images shows the input
and initial image,
followed by the output
at a series of times
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Classification of CNN
Continuous Time CNN
Discrete Time CNN
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Continuous Time CNN
Chua & Yangs CNN(CY-CNN)
Linear Cloning Template CNN
Full Range CNN Linear Threshold/Feed-Forward CNN
Polynomial CNN
Non-uniform Processor CNN
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Several Other CNN
Discrete time CNN
Multi-valued CNN
CNN with Local Logic(CNNLL)
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Why Use CNN?
CNN with their remarkable ability to derive meaning
from complicated data can be used to extract patterns
and detect trends that is too difficult to be detected by
human or other computer technique.Adaptive learning
Self Organisation
Real Time Operation
Fault Tolerance via Redundant Information Coding
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CNN Applications
CNN Processors are versatile platform used for variety
of applications such as
Image Processing
Generation and Analysis of patterns and textures
Chaotic Communication using CNN processors
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Planning Flowchart of Motion
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CNN versus Conventional Computers
Conventional Computer
Use algorithmic
approach
These are predictable
Speed is slow in
comparison
CNN
Mimic the human brain
These are not
predictable
Speed is the key factor
for CNN processors
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CONCLUSION
A brief overview of CNN is given.
Comparison of CNN and other computational
technique is discussed and it is concluded that they
are not in competition but are complement to eachother.
CNN do not perform miracles ,but if they are
used sensibly can produce some amazing results.
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