Artificial Neural Networks
- Introduction
Dr. K. Ganesan
Director – TIFAC-CORE in
Automotive Infotronics
VIT University, Vellore – 632 014
[email protected]
Introduction
.
Artificial Neural Network
•
ANNs possess large number of
highly interconnected
processing elements
called nodes or units or neurons
, which
usually
operate in parallel
and are
configured in specific
architectures.
•
Each neuron is connected with the other by a
connection link
.
•
Each connection link is associated with
weights
which
contain
information about the input signal
.
•
ANNs collective behavior is characterized by their ability to
learn, recall and generalize training patterns.
•
Each neuron has an internal state of its own.
•
The internal state is called the activation or activity level of
neuron, which is the function of the inputs the neurons receives.
•
Activation of a neuron is transmitted to other neurons
.
•
A
neuron can send only one signal at a time
, which can be
transmitted to several other neurons.
Biological Neural Network
The human brain consists of about 10^11 neurons. The structure of neuron is as shown below:
.
