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Artificial Neural Networks- IntroductionDr. K. GanesanDirector – TIFAC-CORE in Automotive InfotronicsVIT University, Vellore – 632 014[email protected]
Artificial Neural Network•ANNs possess large number of highly interconnected processing elementscalled nodes or units or neurons, which usually operate in paralleland 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 NetworkThe human brain consists of about 10^11 neurons. The structure of neuron is as shown below: