A Literature Review On Biological Neural Network

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Chapter-2: Literature Review In this chapter, we discuss a brief introduction of neural network and biometrics . Traditionally, the term neural network had been used to refer to a network or circuit of biological neurons. Neural networks are inspired by our brains. The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes. Thus, the term has two distinct usages: 2.1 Biological Neural Network generally, a biological neural network is consists of a set or sets of chemically linked or functionally linked neurons. The human brain owns about 1014 synapses and 1011 neurons. A neuron consisting of a soma (cell body),dendrites (receive signal) and axons (send signal). A synapses…show more content…
Each learing or training methods in supervised learing depends on the idea display data training in front of the network in the form of a pair of forms input form and target form. (See Figure (2-5)) . Fig( 2-5): Supervised Learning Rule [1] 2)Unsupervised learning Network works to calculate the output without a previous expectation, Where we offer network only inputs and it is find target And working on a self-organizing data Where it competes neurons to get a signal and the neuron Winner we get it on the output and this is called "self-regulation of the network neurons" . (See Figure (2-6)). Fig(2-6):Unsupervised Learning Rule [1] . 2.3.3. Transfer Function In behavior of an ANN depends in each of the weights and the input-output function (transfer function) that is selected for the units. This function usually located into one of three types[8]: Linear (or slope): The output activity is commensurate to the total weighted output (see Figure
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