Recurrent Neural Network
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Date
2011-01
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Addis Ababa University
Abstract
The purpose of the study was to investigate Neural Networks in general and Recurrent
Neural Network in particular. The investigation was to construct a model that shows the
complex data processing of these Neural Networks and their functions in a simple way by
using Artificial Neural Networks. Therefore, in order to carry out this task, Perceptron,
Feed Forward and Recurrent Neural Networks, and the basic concept of Biological
Neural Networks, which are among the contents of this paper, are very important.
From a biological point of view, Neural Networks are networks of biological neurons.
Basically, they are networks of sensory, motor and associative neurons functionally, and
axon, cell body and dendrites structurally. Now, when an external or internal signal
reaches the sensory neuron through the receptors, then it passes to the motor neuron
through the associative neuron within the central nervous system. Since motor neuron has
connection with the brain, then it immediately fires through the command that comes
from the brain. This means that it gives response for that particular signal. In this paper
we extend these concepts to mathematical model by using the concepts of mathematics.
For instance, a Heaviside function is a simple mathematical model of Neural Network.
On the other hand, Recurrent Neural Network consists of the graphG=(N,A)and a
family of formal neuronsG=(V,E)-(X,Y,a,S) each associated to one of the Vertices IEVThis
paper also provides details about the types of Neural Networks present in human being
and also provides details about the Artificial Neural Networks. This paper also presents
some Applications of Neural Networks
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Recurrent Neural Network