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Neural Networks

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  • Andrews Bernard K

Abstract

Artificial neural networks have emerged from the studies of how brain performs. The human brain consists of many millions of individual processing elements, called neurons that are highly interconnected. Information from the outputs of the neurons, in the form of electric pulses is received by the cells at connections called synapses. The synapses connect to the cell inputs, or dendrites and the single output the neuron appears at the axon. An electric pulse is sent down the axon when the total input stimuli for all of the dendrites exceed a certain threshold. Artificial neural networks are made up of simplified individual models of the biological neuron that are connected together to form a network. Information is stored in the network in the form of weights or different connections strengths associated with synapses in the artificial neuron models.

Suggested Citation

  • Andrews Bernard K, 2018. "Neural Networks," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 4(3), pages 19-22, March.
    • Handle: RePEc:jbh:ijsrcs:v4:y2018:i3:id:hcseit184304
    Note: Article URL: https://ijsrcseit.com/CSEIT184304
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