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Neuro-Computing
Introduction
 Neurocomputing is concerned with information processing.
 A neurocomputing approach to information processing first involves a learning process within a neural network architecture that adaptively responds to inputs according to a learning rule.
 After the neural network has learned what it needs to know , the trained network can be used to perform certain tasks depending on a particular application.
 Neural networks have the capability to learn from their environment and to adapt to it in an interactive manner.
What do u think which is faster?
A DIGITAL COMPUTER OR A HUMAN BEING?
For multiplying two 7-digit numbers,of course, digital computer is faster, but……
At perceiving or identifying an object of interest in a natural scene or interpreting natural language human beings are faster than a digital computer.
BUT WHY?
How can we perform certain tasks better and faster than a digital computer?
Because our BRAIN is organized
DO U KNOW DIFFERENCE BETWEEN BRAIN AND A DIGITAL COMPUTER?
Difference lies in their PROCESSING UNITS.
The basic processing unit of BRAIN is NEURON or A NERVE CELL
The main processing unit of a digital computer is SILICON LOGIC GATES
Neurons are approximately six orders of magnitude slower than silicon logic gates.
However the brain can compensate for the relatively slow operational speed of the neuron by processing data in a highly parallel architecture that is massively interconnected.It is estimated that the human brain must contain in the order of 10 raise to powere 11 neurons and approximately three orders of magnitude more connections or synapses
Therefore, the BRAIN is an adaptive,nonlinear,parallel computer that is capable of organizing neurons to perform certain tasks.