05-10-2010, 05:10 PM
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NEURAL NETWORK
Introduction
A neural network, also known as a parallel distributed processing network, is a computing solution that is loosely modeled after cortical structures of the brain.
It consists of interconnected processing elements called nodes or neurons that work together to produce an output function.
Neurons (also known as neurones and nerve cells) are electrically excitable cells in the nervous system that function to process and transmit information.
Neural network process the information in parallel only.
Neural network is robust to tolerate error or failure.
'Neural Network' has two distinct connotations i.e Biological neural networks and Artificial neural networks .
NEURAL NETWORK
Introduction
A neural network, also known as a parallel distributed processing network, is a computing solution that is loosely modeled after cortical structures of the brain.
It consists of interconnected processing elements called nodes or neurons that work together to produce an output function.
Neurons (also known as neurones and nerve cells) are electrically excitable cells in the nervous system that function to process and transmit information.
Neural network process the information in parallel only.
Neural network is robust to tolerate error or failure.
'Neural Network' has two distinct connotations i.e Biological neural networks and Artificial neural networks .
